AN EXAMINATION OF THE IMPACT OF TRAINING ON THE EMOTIONAL ... · A thesis submitted in fulfilment...
Transcript of AN EXAMINATION OF THE IMPACT OF TRAINING ON THE EMOTIONAL ... · A thesis submitted in fulfilment...
AN EXAMINATION OF THE IMPACT OF TRAINING ON THE EMOTIONAL
INTELLIGENCE OF INDIVIDUALS
Jane P. Murray
B.Com (Hons 1)
A thesis submitted in fulfilment of the requirements of the Degree of
Doctor of Philosophy
Department of Management
Griffith Business School
Griffith University
September, 2009
i.
Statement of Originality
This work has not previously been submitted for a degree or diploma in any university.
To the best of my knowledge and belief, the thesis contains no material previously
published or written by another person except where due reference is made in the thesis
itself.
__________________________
Jane Murray
September, 2009
ii.
Acknowledgements
They say a journey of a thousand miles starts with a single step and I would most
definitely class the Ph.D process as my own thousand mile journey. For the most part
there have been blue skies and a clear path ahead. There have however, been times
where storms have brewed, I’ve been a little lost and needed to pluck up courage to
climb large mountains. It was at these times that the love, support and guidance I have
received really helped me. There are many people whom I wish to thank for this. Some
of you have been with me for the entire journey, whilst others have joined me at various
intersections along the way. Each of you has contributed in different, but no less
important ways. I would like to take this opportunity to thank you all.
First of all I would like to thank my supervisors Dr. Peter Jordan and Dr. Neal
Ashkanasy. You are wonderful role models. Your contributions to this thesis are greatly
appreciated and will not be forgotten. Peter, your continual guidance and encouragement
has always kept me on track and helped me to appreciate what a career in academia
entails. Your door is always open – thank you. Neal, your wealth of knowledge, your
upholding of core concepts, and your eye for detail have been integral to the shaping of
this thesis – thank you for all of the time and effort you have given.
I would also like to thank my Ph.D comrades (and now great friends) Sara
Branch, Sally Russell, Anne Christie, Heather Gray, Jamal Twati, and Melissa Fender.
We have shared many experiences together and I shall forever cherish the supportive
environment we created. I am so glad to call each one of you a friend. I am a better
person for knowing you all.
To my husband Scott, you are my rock. Through it all you have provided me
with support, patience, understanding and most of all love – I thank you and I love you.
To my sister Sue, who is now undertaking her own PhD journey, thank you for all of
your caring and support. I look forward to reciprocating. To the remainder of my
family, thank you all for always providing me with encouragement along the way and an
escape when I have needed one – I love you all.
Finally, I would like to thank Paul Connors and all of the participants from the
Department of Main Roads that participated in my training programs and research.
Without you all, this thesis would not have been possible.
iii.
Abstract
Over the last decade the Emotional Intelligence (EI) construct has been
promoted as a tool that can be used to provide positive individual, team and
organisational outcomes in the workplace. Researchers have demonstrated links
between EI and organisational variables including organisational change, leadership,
performance, conflict, interpersonal skills (IS), citizenship performance and goal setting.
As a result organisations are now actively seeking ways to improve EI in the workplace.
Currently there are a variety of interventions being offered for organisations to
increase individual EI. These range from basic IS programs to specific emotions-focused
interventions. An issue is, however, that many programs have not been subjected to
theoretical justification and open empirical testing. Therefore, academic research
should be conducted to ascertain the efficacy of training emotional intelligence within
organisations. It is this research opportunity that forms the basis of this thesis and in
particular, the following research questions:
1. Can individual emotional intelligence be increased through training in:
a. Emotional Intelligence Skills?
b. Interpersonal Skills?
2. What is the relationship between emotional intelligence and:
a. Organisational Citizenship Behaviours?
b. Goal Setting?
To answer these questions, I develop and empirically test a theoretically-driven
EI focused training program and determine whether EI, citizenship performance and
goal setting can be improved through training. These results were then compared to the
results from a basic IS training program and a normative group data collection.
Interventions were conducted within a large Australian public sector organisation
A quasi-experimental design in an organisational setting and was utilised to
conducted the three studies. Study 1 sampled a normative group of organisational
participants at three equally spaced points in time over an eighteen-month period. This
analysis ensured that the measures used were valid and reliable (Chapter 4), and enabled
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testing of the relationships between EI, citizenship performance and goal setting
(Chapter 5) to be conducted.
Study 2 examined the impact of a theoretically constructed EI training program.
Study 3 then explored the outcomes of a basic IS training program. The procedure for
these studies included the completion of pre- and post-training measures of EI,
citizenship performance and goal setting, and a training intervention. Study 2
participants received two days and Study 3 participants received one day of training.
Both interventions included a half-day follow-up session two weeks later.
Analysis of Study 1 (Chapter 4) demonstrated no significant changes in overall
EI, citizenship performance or goal setting for the normative group, providing
confidence that Study 2 outcomes could be attributed to the training provided.
Additional analysis (Chapter 5) found relationships between EI and citizenship
performance and goal setting suggesting that EI training may have additional benefits in
these organisational contexts.
Data collected within Studies 2 and 3 were analysed simultaneously (Chapter 6).
Contrary to the hypotheses, Study 2 data demonstrated that EI training did not increase
overall citizenship performance or goal setting. The training, however, did lead to an
increase in overall EI and the three related sub-scales of ‘Awareness of Others’
Emotions’, ‘Ability to Manage Own Emotions’ and ‘Ability to Discuss Own Emotions’.
Analysis of Study 3 revealed that citizenship performance and goal setting did not
improve as a result of IS training. Overall EI, ‘Ability to Discuss Own Emotions’ and
‘Ability to Manage Others’ Emotions’ did however, increase from pre- to post-training.
A reanalysis of all data were conducted in Chapter 7 to determine whether an
individual’s pre-training EI impacted training outcomes. Data were trichotomised and
revealed that the EI training led to a large increase in overall EI and moderate increases
in four EI abilities for low EI participants. The moderate EI participants saw only small
increases in two EI abilities. High EI participants showed a small decrease in one EI
ability. Analyses on the IS participant data revealed large increases in overall EI, and
two EI abilities for participants with low EI. No changes were found in the moderate EI
group and the high EI group for overall EI. The high EI group returned a moderate
decrease in one EI ability from pre- to post-training.
Overall, the research presented in this thesis has contributed to theory by
developing a theoretical framework that links related work competencies to specific
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training methods. Broad training programs have been developed and tested to increase
EI skills in self and others. The findings from these programs contribute to the current
EI training efficacy debate and demonstrate that there is a reasonable explanation for
improvements in EI following a training regime specifically designed to extend those
abilities. Through showing that EI skills and abilities can be trained, this research also
contributes to theory by providing evidence that EI is a crystallized intelligence.
The research contributes to practice through broadening our knowledge of the
practical outcomes of training EI and IS in organisations. In addition, the importance of
assessing training programs for content and selecting training appropriate to the skills
that require development have been demonstrated. Finally, the requirement to assess
individuals prior to training was also revealed as those with low EI were shown to have
the greatest benefit from the training. To conclude, the limitations and potential future
research directions including a formal experimental design, alternate measures of the
dependent and independent variables, and alternate forms of training delivery are
presented in Chapter 9.
vi.
Table of Contents
STATEMENT OF ASSISTANCE ..................................................................................................1
Work Published in the Course of the Research ...............................................................................1
Editorial Assistance .........................................................................................................................3
CHAPTER ONE..............................................................................................................................4
Introduction .....................................................................................................................................4
Philosophical Underpinnings...........................................................................................................6
Post-positivism – A Critical Realist Ontology ............................................................................7
Post-positivism – A Modified Objectivist Epistemology............................................................7
Post-positivism – A Modified Experimental Methodology ........................................................7
Methodological Approach and Design ............................................................................................8
The Research Procedure ..................................................................................................................8
Research Design Justification..........................................................................................................9
Thesis Outline................................................................................................................................10
Chapter Summary ..........................................................................................................................11
CHAPTER TWO...........................................................................................................................13
Literature Review ..........................................................................................................................13
Overview ...................................................................................................................................13
Defining Emotional Intelligence....................................................................................................13
Goleman’s Mixed Model...........................................................................................................14
Measuring Goleman’s Model ................................................................................................15
Bar-On’s Mixed Model .............................................................................................................16
Measuring Bar-On’s Model...................................................................................................17
Overall Criticisms of the Mixed Model Approach....................................................................18
Mayer & Salovey’s Ability Model ............................................................................................18
The Four-branch Model of Emotional Intelligence ...................................................................19
Awareness of Emotions .........................................................................................................20
Facilitation of Emotions ........................................................................................................21
Understanding Emotions .......................................................................................................21
Managing Emotions...............................................................................................................22
Measuring Mayer & Salovey’s Four-branch Model ..................................................................22
Self-Report Tests of the Ability Model of Emotional Intelligence ...........................................23
Emotional Intelligence Research ...................................................................................................25
Organisational Change, Structure and Learning Research ........................................................25
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Team Research ..........................................................................................................................28
Leadership Research..................................................................................................................29
Performance Research ...............................................................................................................32
Conflict and Negotiation Research............................................................................................34
Interpersonal Skills Research ....................................................................................................35
Emotional Intelligence and Training .............................................................................................36
Chapter Summary ..........................................................................................................................40
CHAPTER THREE .......................................................................................................................42
The Skills of Emotional Intelligence, Their Relationship to Emotional Intelligence Abilities and Their Link to Work Competencies...........................................................................42
Overview ...................................................................................................................................42
Exploring Emotional Intelligence Branch Abilities ......................................................................43
Awareness of Emotions .............................................................................................................43
Facilitation of Emotions ............................................................................................................45
Understanding Emotions ...........................................................................................................48
Managing Emotions...................................................................................................................51
Linking Emotional Intelligence Abilities to Work Situations .......................................................53
Emotional Intelligence and Conflict Resolution........................................................................53
Emotional Intelligence, Teamwork and Working with Others..................................................55
Emotional Intelligence and Coping with Work Demands.........................................................57
Emotional Intelligence and Dealing with Organisational Change.............................................58
Emotional Intelligence and Work-Family Conflict ...................................................................61
Summary of Work Situations Requiring EI Skills ........................................................................62
The Training Program....................................................................................................................62
Chapter Summary ..........................................................................................................................65
CHAPTER FOUR .........................................................................................................................67
Study 1 – Analysis of the Normative Sample Factor Analysis using Repeated Measures ANOVA.........................................................................................................................................67
Overview ...................................................................................................................................67
Justification for the Selection of Additional Dependent Variables ...............................................67
Citizenship Performance............................................................................................................67
Goal Setting ...............................................................................................................................68
Method...........................................................................................................................................69
Procedure ...................................................................................................................................69
Pilot Study .................................................................................................................................70
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Sample .......................................................................................................................................70
Measures....................................................................................................................................71
Citizenship Performance........................................................................................................72
Emotional Intelligence...........................................................................................................72
Goal Setting ...........................................................................................................................74
Data Screening & Cleaning .......................................................................................................75
Factor Analysis ..............................................................................................................................76
Citizenship Data – Times 1, 2 and 3..........................................................................................76
Reliabilities and Correlations – Citizenship Performance.........................................................80
Emotional Intelligence Data – Times 1, 2 and 3 .......................................................................80
Reliabilities and Correlations – Emotional Intelligence............................................................86
Goal Setting Data – Time 1, 2 and 3 .........................................................................................87
Reliabilities and Correlations – Goal Setting ............................................................................91
Test-Retest Results ....................................................................................................................92
Repeated Measures ANOVA.....................................................................................................92
Planned Comparisons ................................................................................................................93
Chapter Summary ..........................................................................................................................93
CHAPTER FIVE ...........................................................................................................................96
Study 1 – Analysis of the Normative Sample Exploring the Relationship between Emotional Intelligence, Citizenship Performance and Goal Setting .............................................96
Overview ...................................................................................................................................96
Hypothesis Development...............................................................................................................96
Hypotheses for Emotional Intelligence and Citizenship Performance Variables ......................96
Hypotheses for Emotional Intelligence and Goal Setting Variables .........................................97
Method.......................................................................................................................................97
Results – Emotional Intelligence and Citizenship Performance....................................................98
Bivariate Analyses .....................................................................................................................98
Multivariate Analyses................................................................................................................99
Results – Emotional Intelligence and Goal Setting .....................................................................102
Bivariate Analyses ...................................................................................................................102
Multivariate Analyses..............................................................................................................103
Examination of Panel Data ......................................................................................................105
Results – Panel Data ....................................................................................................................106
Bivariate Analyses ...................................................................................................................106
Multivariate Analyses..............................................................................................................109
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Discussion....................................................................................................................................117
Emotional Intelligence and Citizenship Performance .............................................................117
Emotional Intelligence and Goal Setting.................................................................................118
Limitations...................................................................................................................................120
Chapter Summary ........................................................................................................................121
CHAPTER SIX............................................................................................................................122
A Comparison of Emotional Intelligence (Study 2) and Interpersonal Skills (Study 3) Training on the Emotional Intelligence of Individuals ................................................................122
Overview .................................................................................................................................122
The Training Programs................................................................................................................123
Hypothesis Development – Emotional Intelligence Training......................................................124
Awareness of Emotions ...........................................................................................................125
Facilitation of Emotions ..........................................................................................................126
Understanding Emotions .........................................................................................................126
Managing Emotions.................................................................................................................127
Citizenship Performance..........................................................................................................128
Goal Setting .............................................................................................................................128
Hypothesis Development – Interpersonal Skills Training...........................................................129
Citizenship Performance..........................................................................................................129
Goal Setting .............................................................................................................................130
Emotional Intelligence.............................................................................................................130
Method.........................................................................................................................................131
Emotional Intelligence Sample................................................................................................131
Emotional Intelligence Training Procedure.............................................................................131
Interpersonal Skills Training Sample ......................................................................................132
Interpersonal Skills Training Procedure ..................................................................................133
Measures......................................................................................................................................134
Data Screening and Cleaning.......................................................................................................134
Results .........................................................................................................................................134
Means, Standard Deviations, Reliabilities and Correlations – Emotional Intelligence Training ...................................................................................................................................134
Means, Standard Deviations, Reliabilities and Correlations – Interpersonal Skills Training ...................................................................................................................................137
Repeated Measures MANOVA ...............................................................................................139
Results – Emotional Intelligence Training ..................................................................................141
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Test-Retest Results ......................................................................................................................141
Repeated Measures ANOVA...................................................................................................141
Emotional Intelligence.............................................................................................................141
Citizenship Performance..........................................................................................................142
Goal Setting .............................................................................................................................142
Results – Interpersonal Skills Training........................................................................................143
Test-Retest Results ......................................................................................................................143
Repeated Measures ANOVA...................................................................................................143
Citizenship Performance..........................................................................................................143
Goal Setting .............................................................................................................................144
Emotional Intelligence.............................................................................................................144
Discussion – Emotional Intelligence Training ............................................................................144
Emotional Intelligence.............................................................................................................144
Awareness of Emotions .......................................................................................................145
Facilitation of Emotions ......................................................................................................146
Understanding Emotions .....................................................................................................146
Managing Emotions.............................................................................................................147
Citizenship Performance..........................................................................................................147
Goal Setting .............................................................................................................................148
Discussion – Interpersonal Skills Training..................................................................................148
Citizenship Performance..........................................................................................................148
Goal Setting .............................................................................................................................149
Emotional Intelligence.............................................................................................................150
Limitations – Emotional Intelligence Training............................................................................151
Limitations – Interpersonal Skills Training.................................................................................152
Chapter Summary ........................................................................................................................153
CHAPTER SEVEN .....................................................................................................................154
A Reanalysis of Initial Emotional Intelligence Levels on Training Effectiveness ......................154
Overview .................................................................................................................................154
Hypotheses...................................................................................................................................154
Method.........................................................................................................................................157
Results .........................................................................................................................................157
Descriptive Statistics ...............................................................................................................157
Low Emotional Intelligence Scores.....................................................................................157
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Moderate Emotional Intelligence Scores.............................................................................159
High Emotional Intelligence Scores ....................................................................................160
A Discussion of Regression to the Mean.....................................................................................161
Comparison Between Groups at Time 1..................................................................................163
Repeated Measures MANOVA ...............................................................................................163
Low Emotional Intelligence.................................................................................................163
Moderate Emotional Intelligence ........................................................................................165
High Emotional Intelligence................................................................................................167
Normative Sample ANOVA Results (Study 1) .......................................................................169
Planned Comparisons ..............................................................................................................171
Low Emotional Intelligence Scores.....................................................................................171
Moderate Emotional Intelligence Scores.............................................................................173
High Emotional Intelligence Scores ....................................................................................173
Emotional Intelligence Training ANOVA Results (Study 2) ..................................................176
Interpersonal Skills Training ANOVA Results (Study 3) .......................................................178
Discussion....................................................................................................................................180
Chapter Summary ........................................................................................................................182
CHAPTER EIGHT ......................................................................................................................184
Integrating the Studies .................................................................................................................184
Overview .................................................................................................................................184
Summary of Theoretical Development........................................................................................184
Summary of Research..................................................................................................................185
Normative Sample Outcomes (Study 1) ..................................................................................185
Emotional Intelligence Training Outcomes (Study 2) .............................................................188
Interpersonal Skills Training Outcomes (Study 3) ..................................................................188
Outcomes of the Low, Moderate and High Group Comparisons ............................................189
Discussion of Overall Results......................................................................................................189
Point of Interest 1 – Awareness of Own Emotions..................................................................191
Point of Interest 2 – Self-Awareness the Main Outcome of Interpersonal Skills Training for Low EI Participants .............................................................................................191
Point of Interest 3 – EI Training Has the Greatest Impact for Emotions-Focused Training Participants with Low Emotional Intelligence..........................................................192
Point of Interest 4 – Ability to Discuss Emotions Improved For All Groups .........................193
Point of Interest 5 – Emotions Focused Training Yielded the Greatest Impact Overall .........194
Chapter Summary ........................................................................................................................194
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CHAPTER NINE ........................................................................................................................195
Contributions, Limitations, Future Directions and Conclusions .................................................195
Overview .................................................................................................................................195
Research Contributions................................................................................................................195
Contributions to Theory...........................................................................................................195
Contributions to Practice .........................................................................................................196
Research Limitations ...................................................................................................................198
Future Research Directions..........................................................................................................202
A Formal Experimental Research Design ...............................................................................202
Alternative Measures of the Independent and Dependent Variables.......................................203
Alternative Delivery Options for the Interventions .................................................................204
Chapter Summary ........................................................................................................................205
REFERENCES ............................................................................................................................207
APPENDIX A..............................................................................................................................231
The Positivist and Post-Positivist Paradigms ..............................................................................231
References ...................................................................................................................................233
APPENDIX B..............................................................................................................................234
The Emotional Intelligence Intervention .....................................................................................234
Training Awareness of Emotions ............................................................................................234
Awareness of Own and Other’s Emotions at Work.................................................................234
The JOHARI Window.............................................................................................................235
Reflective Diaries ....................................................................................................................236
Organisational Storytelling......................................................................................................237
Training Facilitation of Emotions................................................................................................237
Emotional Contagion...............................................................................................................238
Generating Emotions ...............................................................................................................239
Perspective Taking ..................................................................................................................240
Training Understanding Emotions...............................................................................................240
Plutchick’s Continuum of Emotions .......................................................................................241
Emotional Progressions ...........................................................................................................241
Emotional Cycles.....................................................................................................................242
Emotions and Change..............................................................................................................243
Training Management of Emotions .............................................................................................245
Emotional Repair.....................................................................................................................245
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Building Resiliency .................................................................................................................246
Techniques to Manage Emotions ............................................................................................247
References ...................................................................................................................................248
APPENDIX C..............................................................................................................................250
Emotional Intelligence Training Slides .......................................................................................250
APPENDIX D..............................................................................................................................260
The Interpersonal Skills Intervention ..........................................................................................260
Supportive Communication.....................................................................................................260
Conflict Resolution..................................................................................................................261
Goal Setting .............................................................................................................................263
References ...................................................................................................................................265
APPENDIX E ..............................................................................................................................266
The Interpersonal Skills Intervention Slides................................................................................266
APPENDIX F ..............................................................................................................................271
Emotions in the Workplace .........................................................................................................271
Participant Information Sheet ..................................................................................................271
APPENDIX G..............................................................................................................................273
Emotions in the Worlplace Survey..............................................................................................273
APPENDIX H..............................................................................................................................278
Focus Group Outcomes ...............................................................................................................278
Focus Group ............................................................................................................................278
Notes From Session 1 – 10.00am (Six Participants) ...............................................................278
Notes from Session 2 – 1:30pm (Four Participants)................................................................281
Session 1......................................................................................................................................284
Survey Feedback......................................................................................................................284
Session 2......................................................................................................................................287
APPENDIX I ...............................................................................................................................289
Emotions in the Workplace Survey .............................................................................................289
Feedback On Results – Sample Report ...................................................................................289
xiv.
List of Tables
Table 1 Summary of Skills Related to EI Abilities .......................................................................46
Table 2 Constructing the EI training program...............................................................................64
Table 3 Workgroup EI Profile Subscales (Jordan et al., 2002) .....................................................74
Table 4 Goal Setting Subscales (Locke & Latham, 1984) ............................................................75
Table 5 Time 1, 2 & 3 Exploration of the Citizenship Rating Scale using Principal Axis Factoring and Varimax Rotation ...................................................................................................79
Table 6 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales (Time 1) ........................................................................................................80
Table 7 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales (Time 2) ........................................................................................................80
Table 8 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales (Time 3) ........................................................................................................80
Table 9 Time 1 (n=320) Exploration of the WEIP-6 Scale using Principal Axis Factoring and Varimax rotation.....................................................................................................83
Table 10 Time 2 (n=256) Exploration of the WEIP-6 Scale using Principal Axis Factoring and Varimax Rotation ...................................................................................................84
Table 11 Time 3 (n=225) Exploration of the WEIP-6 Scale using Principal Axis Factoring and Varimax Rotation ...................................................................................................85
Table 12 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales (Time 1 – 24 items) ......................................................................................86
Table 13 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales (Time 2 – 24 items) ......................................................................................86
Table 14 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales (Time 3 – 24 items) ......................................................................................87
Table 15 Time 1, 2 & 3 Exploration of the Goal Setting Scale using Principal Axis Factoring and Varimax Rotation ...................................................................................................90
Table 16 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales (Time 1 – 24 items)..........................................................................91
Table 17 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales (Time 2 – 24 items)..........................................................................91
Table 18 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales (Time 3 – 24 items)..........................................................................91
Table 19 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting Time 1, 2 and 3 Repeated Measures ANOVAs (n = 89) ..............................92
Table 20 F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting from Time 1 to Time 3, and Time 2 to Time 3 (n = 89) ...................................................94
Table 21 Times 1, 2 and 3 Correlations between EI and Citizenship Performance......................99
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Table 22 Time 1, 2 & 3, Standard Regression Analyses between Citizenship Performance (DV) and EI variables (IVs) ...................................................................................100
Table 23 Correlations between EI and Goal Setting (Time 1) ....................................................103
Table 24 Standard Regression Analyses between Goal Setting (DV) and EI variables (IVs).............................................................................................................................................104
Table 25 Correlations between EI and Citizenship Performance (Panel Data n = 88) ...............107
Table 26 Correlations between EI and Goal Setting (Panel Data n = 88) ...................................108
Table 27 Coefficients of Variation between Citizenship Performance (DV) and EI (IV) Panel Data (n = 88)......................................................................................................................109
Table 28 Coefficients of Variation between Goal Setting (DV) and EI (IV) Panel Data............111
Table 29 Standard Regression Analyses between Goal Setting (DV) and EI variables (IVs) (Panel Data n = 88).............................................................................................................112
Table 30 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – EI Training (Time 1, 24 items, n=161)....................................................135
Table 31 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – EI Training (Time 2, 24 items n=161).....................................................135
Table 32 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – EI Training (Time 1, n=161) ...................................................................136
Table 33 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – EI Training (Time 2, n=161) ...................................................................136
Table 34 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – EI Training (Time 1, 24 items, n=161) .......................................136
Table 35 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – EI Training (Time 2, 24 items, n=161) .......................................136
Table 36 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – IS Training (Time 1, 24 items, n = 81)....................................................137
Table 37 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – IS Training (Time 2, 24 items n = 81).....................................................138
Table 38 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – IS Training (Time 1, n = 81) ...................................................................138
Table 39 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – IS Training (Time 2, n = 81) ...................................................................138
Table 40 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – IS Training (Time 1, 24 items, n = 81) .......................................138
Table 41 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – IS Training (Time 2, 24 items, n = 81) .......................................139
Table 42 Repeated Measures MANOVA Interaction Effects (Within-subjects – All Groups) for Citizenship, EI and Goal Setting including Wilks’ Lambda, F-Statistics, Significance and Effect Sizes (η2)...............................................................................................139
xvi.
Table 43 Repeated Measures MANOVA Effects for Time (Within-subjects – All Groups) for Citizenship, EI and Goal Setting including Wilks’ Lambda, F-Statistics, Significance and Effect Sizes (η2)...............................................................................................140
Table 44 Repeated Measures MANOVA Main Effects for Groups (Between-subjects – All Groups) for Citizenship, EI and Goal Setting including Significance and Effect Sizes (η2) ..............................................................................................................................................140
Table 45 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting Repeated Measures ANOVAs (EI Training, n = 161) ................................142
Table 46 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting Repeated Measures ANOVAs (IS Training, n = 81) ..................................143
Table 47 Means and Standard Deviations for Normative Sample (Low EI)...............................158
Table 48 Means and Standard Deviations for EI Training Sample (Low EI) .............................158
Table 49 Means and Standard Deviations for IS Training Sample (Low EI)..............................159
Table 50 Means and Standard Deviations for Normative Sample (Moderate EI).......................159
Table 51 Means and Standard Deviations for EI Training Sample (Moderate EI) .....................160
Table 52 Means and Standard Deviations for IS Training Sample (Moderate EI) .....................160
Table 53 Means and Standard Deviations for Normative Sample (High EI) ..............................161
Table 54 Means and Standard Deviations for EI Training Sample (High EI).............................161
Table 55 Means and Standard Deviations for IS Training Sample (High EI).............................161
Table 56 Interaction Effects (Within-person) – MANOVA comparing Normative, EI and IS Training ............................................................................................................................164
Table 57 Main Effects for Time (Within-person) – MANOVA comparing Normative, EI and IS Training ............................................................................................................................164
Table 58 Main Effects (Between-persons) – MANOVA comparing Normative, EI and IS Training...................................................................................................................................165
Table 59 Interaction Effects (Within-person) – MANOVA comparing Normative, EI and IS Training ............................................................................................................................166
Table 60 Main Effects for Time (Within-person) – MANOVA comparing Normative, EI and IS Training ............................................................................................................................166
Table 61 Main Effects (Between-persons) – MANOVA comparing Normative, EI and IS Training...................................................................................................................................167
Table 62 Interaction Effects (Within-person) – MANOVA comparing Normative, EI and IS Training ............................................................................................................................168
Table 63 Main Effects for Time (Within-person) – MANOVA comparing Normative, EI and IS Training ............................................................................................................................168
Table 64 Main Effects (Between-persons) – MANOVA comparing Normative, EI and IS Training...................................................................................................................................169
xvii.
Table 65 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship Performance, EI and Goal Setting Repeated Measures ANOVAs for Normative Sample (Low EI, n = 21) ..........................................................................................................................170
Table 66 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship Performance, EI and Goal Setting Repeated Measures ANOVAs for Normative Sample (Moderate EI, n = 47) ..................................................................................................................170
Table 67 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship Performance, EI and Goal Setting Repeated Measures ANOVAs for Normative Sample (High EI, n = 19)..........................................................................................................................171
Table 68 F Statistics and Effect Size (d) for Citizenship Performance, EI and Goal Setting for T1, T2 & T3 (Low EI – Normative Sample) .............................................................172
Table 69 F Statistics and Effect Size (d) for Citizenship Performance, EI and Goal Setting for T1, T2 & T3 (Moderate EI – Normative Sample) .....................................................174
Table 70 F Statistics and Effect Size (d) for Citizenship Performance, EI and Goal Setting for T1, T2 & T3 (High EI – Normative Sample) ............................................................175
Table 71 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, Goal Setting and EI from Pre- to Post-program for EI Training Sample (Low EI, n = 41) ..........................................................................................................................177
Table 72 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, Goal Setting and EI from Pre- to Post-program for EI Training Sample (Moderate EI, n = 82) ..................................................................................................................177
Table 73 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, Goal Setting and EI from Pre- to Post-program for EI Training Sample (High EI, n = 38)..........................................................................................................................178
Table 74 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, EI and Goal Setting from Pre- to Post-program for IS Training Sample (Low EI, n = 20) ..........................................................................................................................179
Table 75 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, EI and Goal Setting from Pre- to Post-program for IS Training Sample (Moderate EI, n = 41) ..................................................................................................................180
Table 76 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, EI and Goal Setting from Pre- to Post-program for IS Training Sample (High EI, n = 20)..........................................................................................................................180
Table 77 Summary of All Results for Normative Sample ..........................................................187
Table 78 Summary of Main Results............................................................................................190
Table 79 Popper’s Distinctions of Positivism and Post-positivism ............................................232
Table 80 Philosophical Differences between Positivism and Post-positivism............................232
Table 81 Eight Elements of Supportive Communication............................................................261
Table 82 Conflict Resolution Styles............................................................................................263
xviii.
List of Figures
Figure 1 Relationship – WEIP-6 to Mayer and Salovey’s Four-branch Model of EI...................73
Figure 2 Citizenship Scale Time 1 Scree Plot ..............................................................................77
Figure 3 WEIP-6 Scale Time 1 Scree Plot ...................................................................................81
Figure 4 Goal Setting Time 1 Scree Plot ......................................................................................88
Figure 5 The Ladder of Inference ...............................................................................................262
1.
STATEMENT OF ASSISTANCE
Work Published in the Course of the Research
The following papers and presentations have been completed during the course of
the thesis preparation:
1. Murray, J.P. (2003). Emotional intelligence skills training. Poster presented at
the First Brisbane Symposium on Emotions and Worklife, Brisbane, Australia.
2. Murray, J.P. (2003). Improving team performance: The role of emotional
intelligence in training. Paper presented at the Fifth Annual Research Students
Colloquium, Brisbane, Australia.
3. Murray, J.P., Jordan, P.J., Ashkanasy, N.M. (2004). A comparative study of the
effects of training on emotional intelligence. Poster paper presented at the
Second Brisbane Symposium on Emotions and Worklife, Brisbane, Australia.
4. Murray, J.P., Jordan, P J., Ashkanasy, N.M., & Hall-Thomspon, S.V. (2004). A
preliminary investigation of the links between interpersonal skills training, team
emotional intelligence and team performance. Paper presented at the Annual
Meeting of the Australian and New Zealand Academy of Management, Dunedin,
New Zealand.
5. Murray, J.P., & Jordan, P.J. (2004). Emotional intelligence, work skills and
training. Paper presented at the Annual Meetings of the Academy of
Management, New Orleans, Louisiana.
6. Murray, J.P., Jordan, P.J., & Ashkanasy, N.M. (2004). The link between
emotional intelligence and work skills: Identification of training interventions.
Paper presented at the Fourth International Conference on Emotions and
Worklife, London, U.K.
7. Murray, J.P., Jordan, P.J., & Hall-Thompson, S.V. (2005) Can emotional
intelligence be Increased through training?: An experimental study. Paper
presented at the Annual Meetings of the Academy of Management, Honolulu,
Hawaii, USA.
8. Murray, J.P., Jordan, P.J., Ashkanasy, N.M., & Connors, P. (2005). Can training
increase emotional intelligence?: Presenting the framework of three studies.
2.
Poster presented at the 19th Annual conference of the Annual Meeting of the
Australian and New Zealand Academy of Management, Canberra, Australia.
9. Murray, J.P. & Jordan, P.J., & Ashkanasy, N.M. (2005). Increasing emotional
intelligence: Presenting the results of a training intervention. Poster paper
presented at the Third Brisbane Symposium on Emotions and Worklife, Brisbane,
Australia.
10. Murray, J.P. & Ashkanasy, N.M. (Chairs). (2006). Emotional intelligence and
workplace training interventions. Symposium presented at the Annual Meeting of
the Society for Industrial and Organizational Psychology (SIOP), Dallas, Texas,
USA.
11. Murray, J.P., Ashkanasy, N.M., & Jordan, P.J. (2006). Emotional intelligence
training: theoretical and practical issues. In J.P. Murray and N.M. Ashkanasy
(Chairs), Emotional intelligence and workplace training interventions.
Symposium to be presented at the Annual Meeting of the Society for Industrial
and Organizational Psychology, Dallas, Texas.
12. Murray, J.P., Jordan, P.J., & Ashkanasy, N.M. (2006). Training emotional
intelligence abilities: Results from an experimental study. In G. Matthews
(Chair) Finding the Intelligence in ‘Emotional Intelligence’. Symposium
presented at the Twenty-Sixth International Congress of Applied Psychology,
Athens, Greece.
13. Murray, J.P., Jordan, P.J., & Ashkanasy, N.M. (2006). Training emotional
intelligence: Presenting the results of an experimental study. Visual Presentation
presented at the Thirty-Fifth Annual Conference of the Society for Australasian
Social Psychologists, Canberra, Australia.
14. Murray, J.P., Jordan, P.J., & Ashkanasy, N.M. (2006). Utilising self-report and
perceived change methods to assess the efficacy of an emotional intelligence
training program. In N.M. Ashkanasy (Chair), Applications of Social Psychology
in Organisational Behaviour. Symposium presented at the Thirty-Fifth Annual
Conference of the Society for Australasian Social Psychologists, Canberra,
Australia.
15. Murray, J.P. & Jordan, P.J. (2006). Improving emotional intelligence and
performance through emotions focused training interventions. Paper presented at
the Annual Meetings of the Academy of Management, Atlanta, U.S.A.
3.
16. Murray, J.P. & Lawrence, S.A. (2006). Using a self-report measure to determine
whether emotional intelligence can be Trained. In J. Gooty (Chair), Emotional
intelligence and emotional competencies: Where are we and what does the future
hold? Symposium presented at the Annual Meetings of the Academy of
Management, Atlanta, U.S.A.
17. Murray, J.P. & Jordan, P.J. (2008). Further examinations of the impact of
training on emotional intelligence. Paper presented at the 3rd Asia-Pacific
Symposium on Emotions in Worklife, Newcastle, Australia.
18. Murray, J.P. & Branch, S. (2008). Tackling workplace bullying through
training. Paper presented at the Australian and New Zealand Academy of
Management Conference, Auckland, New Zealand.
19. Jordan, P.J., Murray, J.P., & Lawrence, S.A. (2009). The application of
emotional intelligence in industrial and organisational psychology. In C. Stough,
D. Saklofske, & J. Parker (Ed.) Advances in the Measurement of Emotional
Intelligence.
Editorial Assistance
The services of a copy editor were used in the final preparation of this thesis. As
per Griffith University Guidelines (https://intranet.secure.griffith.edu.au/research-
higher-degrees/thesis/preparation/editorial-assistance), editorial assistance was restricted
to proofreading and advice relating to the conventions of grammar.
The copy editor used was Mr Tony Roberts (ABN 30 676 583 834), P.O. Box
6331, Upper Mount Gravatt, Qld, 4122, Australia, telephone 07 3343 1850. Mr
Robert’s services were found on the Queensland Society of Editors website and can be
found at http://www.editorsqld.com/freelance/register_rst.htm#roberts.
4.
CHAPTER ONE
Introduction
The use of emotions in organisations is an area of increasing interest for
researchers (Ashkanasy, Härtel, & Daus, 2002). Emotions provide insights to a broad
range of issues including understanding organisational behaviour (Smith & Sharma,
2002), organisational change (Carr, 2001), improving performance (Barsade, Ward,
Turner, & Sonnenfeld, 2000), job satisfaction (Kafetios & Zampetakis, 2008) and
moderating stress (Styhre, Ingelgard, Beausang, Castenfor et al., 2002). In particular, the
construct of Emotional Intelligence (EI) is increasingly being highlighted as a tool that
organisations can harness to improve individual (Cherniss, 2000) and team performance
(Jordan, Ashkanasy, Härtel, & Hooper, 2002).
Owing to the infancy of the field, there has been an ongoing debate on whether EI
is a construct in itself or is simply comprised of existing constructs rebadged (Landy,
2005; Mayer, Caruso, & Salovey, 2008; Antonakis, Ashkanasy, & Dasborough, 2009).
Despite the criticisms, over the past decade a significant amount of research has
accumulated demonstrating that EI does, in fact, meet the requirements to be classed as
an intelligence (Mayer, Caruso, & Salovey, 1999). In particular, this research supports
the use of the ability model of EI in both the organisational and social sciences (Daus &
Ashkanasy, 2005; Fiori, 2008). As a result of the legitimation of EI as a useful construct,
particularly in the workplace, organisations have sought ways of improving EI in their
employees. One way of doing this has been through training.
Methods of training EI have been diverse. These range from offering Interpersonal
Skills [IS] training as EI training (Cherniss & Adler, 2000; Lynn, 2002; Tucker, Sojka,
Barone, & McCarthy, 2000) to full-blown emotions-focused interventions (Brown,
2003; Nelis, Quoidbach, Mikolajczak, & Hansenne, 2009; Slaski & Cartwright, 2002,
2003; Wasseveld, Overbeeke, & Dersken, 2007). However, few of these training
programs have been justified on theoretical grounds (Palmer, Walls, Burgess, & Stough,
2001) or have been empirically tested. To complicate matters further, a debate exists
over whether EI is an innate ability or can be learned (Mayer, Salovey, Caruso, &
Sitarenios, 2001). This has significant ramifications for organisations that are presently
allocating training budgets dedicated to EI training.
5.
Until the late 1990s, training in organisations focused on creating productive
behaviour in individuals through self-awareness and IS training (Garavan, Barnicle, &
Heraty, 1993; Gist, Stevens, & Bavetta, 1991; Nurick, 1993). Typically, major training
programs offered included active listening skills, time management, conflict resolution,
negotiation, assertiveness, self-awareness and communication skills (Hayes, 2002;
Robbins & Hunsaker, 2003). These training programs were generally identified directly
from training needs analyses (TNA) linked to core job competencies. The process of
imparting these skills was primarily achieved by raising the cognitive awareness of these
skills through experiential exercises. The focus was in developing competencies that
directly relate to organisational outcomes. Competency limitations highlighted within
the training needs analysis were then resolved through training (Smith & Hayton, 1999).
However, more recent research reveals that peoples’ experiences at work involve
more than reflecting on situations in a cold and objective fashion (Fineman, 1993).
Leading organisational scholars now agree that emotions in the workplace are central to
obtaining a richer understanding of work motivation (George & Brief, 1992, 1996; Isen
& Baron, 1991; Locke & Latham, 1990; Weiss & Cropanzano, 1996). At work, we are
subject to a range of emotions including jealousy, love, hate, anger (Fitness, 2000;
Fitness & Fletcher, 1993), shame (Bagozzi, Verbeke, & Gavino, 2003; Verbeke &
Bagozzi, 2002), envy (Bedeian, 1995; Patient, Lawrence, & Maitlis, 2003), enthusiasm
(Lewis, 2000), and fear (Ashkanasy & Nicholson, 2003; Fineman, 1993). Sometimes,
jobs require us to display emotions that are at odds with how we actually feel
(Ashkanasy & Daus, 2002; Ashkanasy et al., 2002; Hochschild, 1979). However, there
are few training interventions that go beyond surface level emotions to deal specifically
with how we engage with emotions at work (Hopfl & Linstead, 1997). Over the last
decade, there have been increasing attempts to bridge this gap (see Bagshaw, 2000;
Slaski & Cartwright, 2002, 2003 for examples). The research described in this thesis
will add to this body of work through conducting empirical research that tests the
efficacy of EI training.
Following the success of Goleman’s (1995) book ‘Emotional intelligence: Why it
can matter more than IQ’, ambitious claims have been made in the management
literature about the contribution of EI to success and performance (Dulewicz & Higgs,
2000). EI incorporates the perception or awareness of emotions, the ability to facilitate
emotions, the understanding or knowledge of emotions and the management or
6.
regulation of emotion in one’s self and others (Mayer & Salovey, 1997). These abilities
have been promoted by a number of writers as providing performance benefits to
employees (Cherniss & Adler, 2000; Goleman, 1998; Mayer & Salovey, 1997). Writers
in this genre have predicted that individuals with high EI perform better in all aspects of
management. This, in turn, has increased the organisational focus on emotions and, in
particular, EI training.
The aim of this research program is to construct an EI-focused training program to
examine the impact of EI training in the workplace. Because IS training has been used
as a method of training EI, an examination of this type of training and its impact on EI is
empirically tested. The research conducted is based on the following research questions:
1. Can individual emotional intelligence be increased through training
in:
a. Emotional Intelligence Skills?
b. Interpersonal Skills?
2. What is the relationship between emotional intelligence and:
a. Organisational Citizenship Behaviours?
b. Goal Setting?
Data were collected from a large Australian public sector organisation, with the
program of research being funded by an Australian Research Council Linkage Grant
(LP0346916) administered through Griffith University, The University of Queensland
and The Queensland Department of Main Roads (the industry partner).
Philosophical Underpinnings
To successfully answer the research question, a variety of data collection
techniques were employed within the theoretical framework of post-positivism. The
understandings in this paradigm were developed from the works of Lincoln, Guba and
Phillips (Guba, 1990; Guba & Lincoln, 1994; Lincoln & Guba, 2000; Phillips, 1990).
However, it is acknowledged that there are often misunderstandings and disagreements
about what constitutes the post-positive paradigm. Therefore, an overview of the key
7.
differences between the positivist and post-positivist paradigms is presented in
Appendix A.
Post-positivism – A Critical Realist Ontology
Post-positivism advocates a critical realist ontology (Crotty, 1998; Lincoln &
Guba, 2000) asserting that reality can never be perfectly apprehended, because, as
human beings, we are fundamentally flawed. However, critical realism does assert that
we are able to continually move closer to apprehending reality (Guba, 1990; Kwan &
Tsang, 2001; Lincoln & Guba, 2000; Locke, Spirduso, & Silverman, 2000; Mir &
Watson, 2001). As a result of these imperfections, researchers need to ensure that they
are critical about the research they undertake and admit to any pre-suppositions they
may have. Post-positivists contend that only after extensive critical examination of, (a)
the research and, (b) the researchers have been undertaken, can research itself move
closer to apprehending reality — but only imperfectly (Guba & Lincoln, 1994; Lincoln
& Guba, 2000; Mir & Watson, 2001).
Post-positivism – A Modified Objectivist Epistemology
In terms of epistemology, post-positivism supports a modified dualistic/objectivist
epistemology (Guba, 1990; Lincoln & Guba, 2000). This view proposes that there is no
way researchers can fully detach themselves when conducting research (Chia, 2002;
Guba, 1990; Lincoln & Guba, 2000; Neuman, 2006). In this way, objectivity can never
be achieved absolutely, but can be attained reasonably closely if the researchers ensure
that they conduct their research as neutrally as possible. To do this, the researchers must
honestly report their own predispositions and how these biases impact the research itself
(Guba, 1990).
Post-positivism – A Modified Experimental Methodology
Post-positivists attempt to falsify hypotheses (Guba & Lincoln, 1994). This is
because propositions are always open to the possibility of falsification at some point in
the future (Guba & Lincoln, 1994; Johnson & Duberley, 2000). Therefore, the post-
positive methodology favours the experimental manipulation of positivism, but uses
8.
both qualitative and quantitative methods to capture as much of reality as possible
(Denzin & Lincoln, 1994; Lincoln & Guba, 2000). This technique is known as critical
multiplism (Cook, 1985). Critical multiplism allows researchers to, conduct their
research in more natural settings (as is the case with this research project), reintroduce
discovery into inquiry and contribute to grounded theory (Guba & Lincoln, 1994;
Letourneau & Allen, 1999). An implicit characteristic of critical multiplism is that there
can be no one scientific method that can claim to be perfect, because all methods,
quantitative or qualitative, have their limitations (Blankertz, 1998; Greene, 1990; Houts,
Cook, & Shadish, 1986).
Methodological Approach and Design
The primary methodological approach to be used within the study is a quasi-
experimental research conducted within a field setting. Although quasi-experimental
and true experimental research designs share many of the same characteristics (control
and experimental groups), a major difference is that quasi-experiments lack the random
assignment of participants (Shadish, Cook, & Campbell, 2001). In addition, laboratory
experiments are highly controlled types of experimentation conducted in an artificial
environment, whereas field experiments are conducted in the ‘real world’ setting where
the researcher has less control over the experimental conditions (de Vaus, 2001; Gill &
Johnson, 1997; Neuman, 2000). Because random assignment was not possible within
this study, a non-equivalent comparison group (referred to in this thesis as a normative
group) design (Christensen, 2007) was employed. This was due to the organisational
constraints surrounding the recruitment of individuals and teams. Despite this, efforts
were made to ensure that the differences between the normative and experimental
groups were minimised. The training groups were constituted to gain the maximum
variation and a complete ‘picture’ of the organisation itself, and to ensure that any
differences between the experimental and control groups were small and occurred
through chance (Bickman, Rog, & Hedrick, 1998; Neuman, 2000).
The Research Procedure
The program of research presented in this thesis was undertaken in two major
studies. Study 1 examined data collected from a normative group of participants. The
9.
purpose of this study was to provide a baseline measurement of EI within the research
organisation and to provide evidence that the changes in EI in Study 2 occurred as a
result of the interventions and not due to other reasons. Data were collected from this
sample at three equal points in time over a period of 18 months. An 18-month period
was chosen to ensure that the data continued to be collected from this group while the
two other studies were being undertaken.
Study 2 provided and assessed the impact of specific EI skills training. As
Research Question 1a outlines, the purpose of this study was to determine whether
training EI could increase participant EI. The program consisted of two full training
days followed by a half-day follow-up session approximately two weeks later.
Participants completed a measure entitled ‘Emotions in the Workplace Survey’ prior to
commencing training, and after the follow-up session had been completed. Study 3
focused on examining the impact of an IS training program on a third cohort of
organisational participants (Research Question 1b). The training included skills
prescribed by Dick (1991) and Locke & Latham (1984). This intervention consisted of
one full day training, followed two weeks later by a half-day follow-up training session.
As with the emotions training, participants completed the survey pre- and post-training.
Research Design Justification
A quasi-experimental methodology in a field setting was a sound methodological
choice that enabled the research questions to be explored and answered. Perhaps the
most obvious advantage of conducting quasi-experimental field research is that it
enabled cause-and-effect relationships to be examined (Balnaves & Caputi, 2001;
Bickman et al., 1998; Judd, Smith, & Kidder, 1991; Neuman, 2006). A second
advantage of this type of research is that field experiments have high external validity,
meaning that the results are more generalisable than laboratory research (Mook, 1983;
Neuman, 2000). In particular, the demand characteristic threat to validity does not pose
as great a threat within field experiments compared with laboratory experiments
(Robson, 2001). A final important advantage that justified the research design is subject
availability. Undertaking the entire research program with one organisation (employing
3500 staff in a variety of geographic locations and positions) enabled the successful
recruitment of normative and experimental groups (Robson, 2001).
10.
Thesis Outline
This thesis contains nine chapters. In Chapter Two, I present a detailed review of
the current literature pertaining to my research. First, an overview of the EI construct is
presented, including its origins and development. This is then followed by an overview
and explanation of the mixed and ability models of EI. From there, the research that has
been conducted to date within the realm of EI is presented and discussed. Next, the
details of the current research on EI interventions that are being offered to organisations
are then examined. This review illustrates a gap in the literature relating to EI training
success and justifies the importance of the research presented in this thesis.
In Chapter Three, I proceed to develop a theoretical framework for the research
project that identifies the specific work skills and abilities that relate to EI. In particular,
these work skills and abilities will be linked to Mayer and Salovey’s (1997) four
branches of EI (awareness, facilitation, understanding and management of own and
others’ emotions). Following the identification of specific emotions focused skills and
abilities, an illustration of how these work skills link to specific work functions, and
could benefit from EI training, are proposed.
In Chapter Four, I present the first of the results from the data analysed in Study 1.
In this chapter, I report the results of the factor analysis on the data collected from a
normative group of research participants. The results of these analyses provide a
structure on which the data in the remainder of this thesis is conducted. A full
description of the analyses undertaken and the results obtained are presented.
In Chapter Five, longitudinal panel data from the Study 1 normative sample are
examined to explore the relationships between citizenship performance, EI and goal
setting. Specific hypotheses relating to the relationships between these variables are
outlined. Statistical techniques, including bivariate correlations, will test these
hypotheses. The purpose of this chapter is to establish a baseline for judging the efficacy
of different training regimes completed during Studies 2 and 3.
Chapter Six then focuses first on presenting the results from the group of
participants that received the EI focused training program. The purpose of Study 2 was
to determine whether or not an intervention specifically designed and facilitated around
Mayer and Salovey’s (1997) four-branch model of EI could lead to increases in EI.
Training was developed specifically for the research project and was facilitated over a
two-day period, followed approximately two weeks later by a half-day follow-up
11.
program. Second, I then assess the impact of the basic IS training (Study 3) on the EI of
individuals. The IS training program was tailored specifically to the organisation and
was facilitated over a period of eighteen months. Similar to the EI intervention, IS
training consisted of a full-day training program, followed two weeks later by a half-day
refresher program. The skills developed within this study included supportive
communication, conflict resolution and goal setting skills.
The purpose of Chapter Seven is to reanalyse the three data collections conducted
for the normative (Study 1), EI (Study 2), and IS (Study 3). In particular, I conducted
analyses by categorising the participants from each of the studies into low, moderate or
high EI groups prior to training (at Survey 1 collection). The data for each of these sub-
groups were then reanalysed to explore the impact of training on the participants that
commenced the training with low, moderate or high EI. A full discussion of the results
is provided.
Next, an integration of the three studies conducted and presented in Chapters
Four, Five, Six and Seven is presented in Chapter Eight. This chapter commences with a
short overview of each aim in the three separate studies. The chapter then goes on to
discuss the similarities and differences between the three studies and how this
information can be used to provide an overall ‘picture’ of the outcomes of the research
project.
Finally, in Chapter Nine, I provide conclusions, implications and suggestions for
future research. In this chapter, the implications and limitations are discussed and a
summary of the theoretical contributions that this research project makes to our
understanding of EI training is provided. In addition to presenting the contributions, this
research provides for theory; I discuss the implications for practice. In summary, this
research project develops an original training program aimed at increasing the individual
EI. The thesis presents a series of significant empirical studies that will provide greater
insights into the importance of EI training within organisations.
Chapter Summary
This chapter provides an introduction to the program of research undertaken for
this thesis. A brief overview of the current interest in the area of EI is outlined and the
importance of conducting research to determine the efficacy of training EI skills has
12.
been established. The overarching research question that I sought to answer was
presented, followed by a discussion of the philosophical underpinnings, the
methodological approach, the justification for the research design and the thesis outline.
In summary, the research presented in this thesis will provide a range of contributions to
theory and practice.
The theoretical contribution of this thesis is the development of a link between the
EI construct (Mayer & Salovey, 1997) and skills-based training interventions that I have
identified that enhance EI. In particular, I identify a broad training program that can be
used to develop the skills and abilities of EI in the workplace. This is achieved by firstly
linking the specific emotions-focused skills that have the potential to be trained in the
four-branches of EI. Next, I demonstrate how emotions-focused skills could link to
valued generic workplace skills. These skills include, working with others and in teams,
dealing with change, balancing work and life demands, and dealing with organisational
change. These specific emotions-focused skills are incorporated into a training program
and tested in an applied setting to determine their impact on individual EI. A series of
generic IS are identified and trained in the same organisational setting to determine their
impact on individual EI.
The practical contribution of this thesis is the empirical research that is conducted
to test these links. Specifically, a quasi-experimental research design is employed to
provide a greater understanding of the types of training that can be used by organisations
to improve EI. Analyses will be conducted on data collected from participants who
either receive EI training, IS training, or no training at all (the normative group) to
determine whether EI can be trained. Through an in-depth assessment of two different
training programs, this research will provide evidence of what content should be trained
to improve EI and who the target audience of this training should be for the training to
have its’ greatest impact.
13.
CHAPTER TWO
Literature Review
Overview
In this chapter, I provide a comprehensive review of the literature relating to the
EI construct. First, a brief definition of EI will be presented. This is followed by an
examination and discussion of the two construct definitions of EI, the mixed and ability
models. After presenting a case for using the ability model of EI within this research
project, a full description of the four-branch ability model of EI (Mayer & Salovey,
1997) is provided. Next, a review of the existing EI research will be presented to
provide a complete picture of the field. The review will include research that has been
conducted using both ability and mixed model measures in areas such as, leadership,
teams, organisational change, performance, conflict resolution, negotiation,
interpersonal relations and job satisfaction. Because this thesis seeks to examine the
efficacy of training to increase EI, the final section of this literature review will identify
the gaps in the literature where new empirical research can be conducted. In summary,
this review of the literature provides the foundation from which the three studies
presented in this thesis can extend the existing knowledge of the efficacy of EI in
workplace settings.
Defining Emotional Intelligence
The term EI was first proposed in 1985 in a doctoral thesis (Payne, 1985),
whereby a framework for the concept was explored. Shortly after, Mayer DiPaolo and
Salovey (1990) extended Payne’s work and defined EI as the ability to accurately
appraise, appropriately express and successfully regulate emotions in self and others to
enhance an individual’s life. Since this initial definition, interest in the EI construct has
gained considerable popularity, resulting in what some authors now term the ‘EI
bandwagon’ (Daus, 2006; Murphy & Sideman, 2006, p. 41) owing to the construct
being discussed in newspapers (Goleman, 1998), magazines, (Druskat & Wolff, 2001),
books (Cherniss & Adler, 2000) and academic journals worldwide (Ciarrochi, Chan, &
Caputi, 2000; Dulewicz & Higgs, 2000). The significant interest in the concept has led
to a host of differing definitions of EI being used in academic and practitioner circles
14.
(Jordan, Ashkanasy, & Härtel, 2003; Mayer, Roberts, & Barsade, 2008; Mayer, Salovey,
& Caruso, 2000). These definitions can be broadly classified within the mixed or ability
construct definitions of EI. Broadly speaking, mixed models propose that EI is
comprised of various emotional and social competencies, including empathy, social
skills, assertiveness, social responsibility and motivation (Bar-On, 1997; 2005;
Boyatzis, Goleman, & Rhee, 2000; Goleman, 1998). In contrast, proponents of the
ability model propose that an individual’s EI is comprised of a set of distinct emotion
and cognition-related abilities (Mayer & Salovey, 1997; Rivers, Brackett, Salovey, &
Mayer, 2007).
According to Mayer et al. (2004; 2008), the presence of many differing opinions
of what constitutes EI has led many academics to criticise and call into question the
validity of the construct and even its place in academic research (see Antonakis, 2003,
2004; Becker, 2003; Conte, 2005; Ciarrochi et al., 2000; Landy, 2005; Locke, 2005;
Matthews, Emo, Roberts, & Zeidner, 2006). Ashkanasy and Daus (2005, p. 26) have
stated that if this were to occur, we would risk ‘throwing the baby out with the bath
water’. Despite the debate (Antonakis et al., 2009) and controversy (Jordan, Ashkanasy,
& Daus, 2008), Jordan et al. (2003) have welcomed these criticisms as a necessary
factor in the developmental process of a new academic construct. Furthermore, Huy
(2002) states that all the scepticism and grandiose claims should not deter academics
from researching the area. Mayer et al. (2008) state that research in the area will help to
clarify what EI is, and is not. Fortunately, researchers have heeded Huy’s (2002)
assertion with a range of research being undertaken using both the mixed and the ability
models. While the field continues to mature, the efficacy of EI (particularly the ability
model) in organisational research is being established (Jordan, Ashkanasy, & Ascough,
2007). According to Elfenbein (2007, p. 364) the challenge is now ‘to maintain
scientific standards in the face of the incentives that accompany mass popularisation’.
Prior to an examination of how the validity of the ability model has been established, a
critical examination of the most popular mixed models of EI will first be presented.
Goleman’s Mixed Model
Possibly the most well known definition of EI in the popular press is the definition
proposed by Goleman (1995; 1998; 2001a; 2001b). Goleman (1998, p. 317) defines EI
15.
as ‘the capacity for recognising our own feelings and those of others, for motivating
ourselves, and for managing well in ourselves and in our relationships’. In his book
entitled Working with Emotional Intelligence, Goleman (1998) proposed a mixed model
of EI comprising 25 separate competencies, sorted into five clusters. These clusters
include self-awareness, self-regulation, motivation, empathy and social skills (Boyatzis
et al., 2000; Goleman, 1998).
Self-awareness includes the competencies of emotional awareness, accurate self-
assessment and self-confidence. Cluster two (self-regulation) includes self-control,
trustworthiness, conscientiousness, adaptability and innovation. The third cluster
(motivation) is comprised of achievement drive, commitment, initiative and optimism.
Fourth is the empathy cluster incorporating understanding others, developing others,
service orientation, leveraging diversity and political awareness. Finally, the fifth
emotional competency cluster is the social skills cluster. This cluster contains influence,
communication, conflict management, leadership, change catalyst, building bonds,
collaboration and cooperation, and team capabilities competencies (Boyatzis et al.,
2000; Goleman, 1998).
Despite the public popularity of Goleman’s work, many academic researchers do
not endorse this mixed model of EI (see Ashkanasy & Daus, 2006; Caruso & Wolfe,
2001; Daus & Ashkanasy, 2003, 2005; Jordan et al., 2003; Mayer et al., 2008) because it
lacks a primary focus on EI (Mayer et al., 2008) and covers everything beyond IQ itself
(Sternberg, 1999). Jordan and his colleagues (2003) together with Caruso and Wolfe
(2001) refute Goleman’s model as an EI model because it incorporates many personality
traits that are clearly not emotional in format (conscientiousness, service orientation and
political awareness). Indeed, Antonakis (2004) states that the Goleman approach to EI
has raised too many expectations and has such little sound empirical support and that it
has actually significantly damaged the field.
Measuring Goleman’s Model
Despite the criticism, Goleman’s model of EI continues to be popular in
commercial fields with a number of scales being developed to measure its related
competencies. First, Boyatzis, Goleman and Rhee (2000) created the 360-degree
Emotional Competency Inventory (ECI). Theoretically based on Goleman’s original
16.
competencies and clusters, the ECI was developed and validated using factor analysis
and now measures (though self and other reports) 19 competencies within four clusters.
The Emotional Intelligence Appraisal™ (Bradbury & Greaves, 2003) self-report
measure has also been developed based on Goleman’s definition of EI. The measure
assesses four factors (self-awareness, self-management, social awareness, and
relationship management) and contains 28 items. Once completed, the respondents
receive an overall EI score, plus a score for each of the four factors (Bradbury &
Greaves, 2003).
A further EI measure based on a combination of the Goleman and Mayer-Salovey
models is the Six Seconds Emotional Intelligence Assessment (SEI) (Freedman, Ghini,
& Fiedeldey-Van Dijk, 2005). The SEI is a 104 item self-report that measures eight
competencies within three clusters. Cluster 1 is entitled ‘Know Yourself’ and consists of
two competencies (enhance emotional literacy and recognise patterns). Cluster 2,
‘Choose Yourself’, combines the four competencies of apply consequential thinking,
navigate emotions, engage intrinsic motivation, and exercise optimism. Finally, cluster
3, ‘Give Yourself’, includes the two competencies of enhance empathy and pursue noble
goals.
While these self-report measures are popular in practitioner fields, academic
research into the validity of these measures has uncovered some significant issues. First,
the availability of the measures for peer-review has been lacking; thus, leading Conte
(2005) to state that any reported findings should be treated as tentative. Construct
validity is also an area of concern (Barsade & Gibson, 2007) because the research that
has been conducted has uncovered considerable overlaps between personality measures,
such as the ‘Big Five’ personality traits (Cross & Travaglione, 2003; Matthews, Zeidner,
& Roberts, 2002; Van Rooy & Vivesvaran, 2004). As a result, Conte (2005) calls for
measures premised on Goleman’s mixed model of EI (and in particular the ECI) not to
be considered seriously.
Bar-On’s Mixed Model
The second popular mixed model of EI stems from the work of Bar-On. Bar-On
(2005) does not define EI alone per se, but proposes a very broad definition (Mayer et
al., 2008) describing the construct as emotional-social intelligence (Bar-On & Parker,
17.
2000). According to Bar-On’s (2005, p, 3) definition, ‘emotional-social intelligence is a
cross-section of interrelated emotional and social competencies, skills and facilitators
that determine how effectively we understand and express ourselves, understand others,
and relate with them and cope with daily demands’ (Bar-On, 2005, p. 3). Similar to the
Goleman model, Bar-On presents 15 emotional-social competencies within five clusters
that can be measured through a self-report.
The first of these clusters is the intrapersonal cluster that contains self-regard,
emotional self-awareness, assertiveness, independence and self-actualisation. Second,
the interpersonal cluster includes empathy, social responsibility and interpersonal
relationships. Stress management is the third cluster and includes the two competencies
of stress tolerance and impulse control. The fourth, adaptability, comprises reality-
testing, flexibility and problem solving. Finally, the fifth cluster of general mood
contains two competencies, namely, optimism and happiness (Bar-On, 2000; 2005).
Measuring Bar-On’s Model
As with the criticisms of Goleman’s model, issues have been highlighted in
measuring the EI proposed in Bar-On’s model. Emotional-social intelligence is
measured by the Bar-On Emotional Quotient Inventory (Bar-On EQ-i). The measure
consists of 133 items that enable an individual to receive an overall EI score through
completing the items relating to the five clusters and fifteen social-emotional
competencies (Bar-On, 1997). Despite Bar-On (2004) stating that the measure is
distinct, MacCann Matthews, Zeidner and Roberts (2003) and a range of authors (see
Brackett & Mayer, 2003; Davies, Stankov, & Roberts, 1998; Mayer et al., 2000;
McCrae, 2000) have demonstrated a similarity between the measure and the Big Five
model of personality. In their study examining the competing measures of EI, Brackett
and Mayer (2003) conclude by stating that the Bar-On model is misleading and has an
improper use of the term EI. Furthermore, the authors propose that Bar-On’s definition
could only be an acceptable definition of EI if EI were to be re-defined as comprising a
range of desirable personality characteristics.
18.
Overall Criticisms of the Mixed Model Approach
There is no question that the mixed models of EI proposed by both Goleman
(1995) and Bar-On (1997) are often the most well-known models of EI in organisational
and practitioner fields. However, their definitions and clusters mix in so many differing
non-EI competencies (Mayer et al., 2008) that many academics are openly questioning
whether EI is a valid construct (see Conte, 2005; Landy, 2005; Locke, 2005). Mayer et
al. (2008) believe that because Goleman’s (1995) work aligned itself with Mayer and
Salovey’s (1997) theory of EI, criticisms were levelled at EI as a whole, rather than
focusing on Goleman’s work in separation. Daus and Ashkanasy (2003) support neither
the Goleman nor the Bar-On models, stating that both models are too broad, and are too
similar to personality and competency models. Furthermore, Mayer et al. (2008) stress
that they have openly critiqued Goleman’s (1995) claims in much of their work that EI
can be as or more powerful than an individual’s IQ.
While there is no doubt that Goleman and Bar-On’s work on emotional and
emotional/social competencies has been constructed to improve skills relating to these
competencies, the claims made about their success are overstated (Jordan, Ashton-
James, & Ashkanasy, 2006). The issue is that these competencies do not specifically
contribute to EI (Côté & Miners, 2006), but comprise a range of personality variables
that contribute to work performance (empirical research has found that mixed and
ability measures of EI reveal differing results for the same person) (Brackett, Rivers,
Shiffman, Lerner, & Salovey, 2006). This impacts the predictive validity of the mixed
model measures (MacCann et al., 2003). The four-factor model of EI defined by Mayer
and Salovey (1997) on the other hand proposes specific emotions-focused skills that
adhere to the original definition of EI and contribute to improvements in organisational
performance (Ashkanasy, Ashton-James, & Jordan, 2004). This model will now be
explored in the following section of this chapter.
Mayer & Salovey’s Ability Model
The Mayer and Salovey (1997) ability model is generally recognised as the
definitive model of EI in academic circles (Mayer et al., 2008; Offermann, Bailey,
Vasilopoulos, Seal, & Sass, 2004). Mayer and Salovey (1997) posit that EI describes
finely-tuned emotional and mental abilities. Their most recent definition of the construct
19.
defines EI as the ability to recognise, evaluate and communicate emotions, the ability to
use emotions to assist thought, the ability to understand the causes of emotion and the
consequences emotional reactions, and the ability to manage and control emotions
(Mayer & Salovey, 1997). This model is a distinct and clearly defined construct
(Brackett & Mayer, 2003) successfully differentiating EI from traits and focusing on a
narrow set of emotional skills (Jordan, Ashkanasy, & Härtel, 2003; Lopes, Salovey, &
Straus, 2003) that when viewed together lead to overall EI (Brackett & Katulak, 2007;
Mayer et al., 2008). Ashkanasy and Daus (2005) state that the ability model of EI is the
model from which serious research in the area should be conducted for the foreseeable
future.
Mayer and Salovey (1997) propose that increasing awareness, facilitation,
understanding and management of emotions in both self and others allows individuals to
think more intelligently about emotions (Mayer & Salovey, 1997; Mayer et al., 2000). In
addition, because an individual’s skills are enhanced in each of these individual areas,
abilities in the additional branches are enhanced (Mayer et al., 2008). Mayer and
Salovey (1997) have continually updated their definition since the early 1990’s and now
refer to the ability model as the four-branch model of EI (Mayer et al., 2001). These four
branches will be discussed in detail in the following section.
The Four-branch Model of Emotional Intelligence
The first branch of Mayer and Salovey’s (1997) model is the accurate appraisal
and expression of emotion also known as perception or awareness of emotion. This
branch includes emotional self-appraisal in addition to the ability to perceive the
emotions of others (Caruso & Salovey, 2004). Perceiving emotions includes the ability
to identify and express emotions in facial expressions, voice, posture and gestures
(Lopes, Côté, & Salovey, 2005; Salovey & Grewal, 2005), and other stimuli, such as
music, stories, art and objects (Brackett & Katulak, 2007). Emotional assimilation, also
known as the use of emotions to facilitate thinking or the facilitation of emotions, is the
second branch of Mayer and Salovey’s (1997) model. Facilitation of emotions refers to
an individual’s ability to generate emotions to facilitate thought (Mayer, 2001). This
ability assists individuals to associate emotions with mental images and to know how
emotions impact cognitive processes (for example, problem solving, creativity and
20.
communication) (Lopes et al., 2005). The third branch concerns understanding emotions
or emotional knowledge (Mayer & Salovey, 1997). This factor highlights an
individual’s ability to understand the emotions that aid intellectual and interpersonal
growth (Jordan, Ashkanasy, & Härtel, 2002). Finally, the fourth branch of Mayer and
Salovey’s (1997) model involves regulating or managing emotions to assist with
problem solving. Clearly, unmanaged emotions can compromise effective decision-
making (Zhou & George, 2003). Therefore, the skills and abilities of emotional
regulation comprise the management and control of own emotions, in addition to the
ability to regulate the emotions of others (Mayer & Salovey, 1997). The following
section of this chapter will now discuss each of the four branches in further detail.
Awareness of Emotions
The accurate appraisal and expression of emotion or awareness of emotion
includes emotional self-appraisal, gauging the emotions of others and includes the
ability to perceive the false expressions of emotions in others (Abraham, 1999; Mayer &
Salovey, 1997). According to Lopes et al. (2005), this ability assists individuals in
appraising important situations and communicating effectively within these situations.
Just as every individual has a different skill level in terms of self-awareness, appraisal,
and emotional expression, the same can be said for each individual’s ability to appraise
the emotions expressed by others (Zhou & George, 2003).
An example of why emotional awareness is important in the workplace can be
seen in common organisational conflict situations. Jordan and Troth’s (2004) research
has shown that emotional self-awareness is vital in dealing effectively with conflict in
the workplace. How accurately others’ emotions are appraised by an individual during a
conflict situation are equally important. For instance, a colleague may say that
everything is ‘fine’ after a conflict situation has, on the surface, been resolved, while
their tone of voice, body gestures and facial expressions communicate a very different
message (Planalp, 1999). In this example, the ability of an individual to identify these
emotion-laden cues highlights their ability to accurately perceive and appraise others’
emotions and may assist in avoiding the negative consequences of dysfunctional
conflict.
21.
Facilitation of Emotions
Commonly referred to as emotional assimilation, facilitation of emotions refers to
an individual’s ability to generate emotions in self and others to facilitate thought
(Mayer, 2001). Individuals who possess advanced skills in this branch are able to
successfully alter their own emotions to assist with information processing (Caruso &
Salovey, 2004). Conversely, individuals with low levels of EI find it more difficult to
use their emotions to aid their own cognitive processes (Zhou & George, 2003).
Professions that would benefit from this ability include, structural engineers who need
to generate calm to focus on their task, funeral directors who need to convey calmness
and serenity and debt collectors who produce fear in their clients. Additionally,
emotional assimilation skills can assist individuals to experience emotions from the
perspective of others and aid in the facilitation of appropriate emotions in others
(Caruso & Salovey, 2004; Sy, Côté, & Saavedra, 2005).
Using the same conflict situation mentioned when discussing the awareness of
emotions branch, an individual with the ability to generate emotions to facilitate thought
would be able to consider the other person’s viewpoint by acknowledging the emotions
that person may be experiencing and, thus, use this information to help make accurate
judgements and overcome the issue or conflict (Brief & Weiss, 2002). In other words,
they would be able to confront and redirect any negative emotion from being
debilitating to become motivating and thus prevent dysfunctional conflict.
Understanding Emotions
The third branch of EI is understanding emotions or emotional knowledge (Mayer
& Salovey, 1997). This factor highlights an individual’s ability to understand emotions
that aid intellectual and interpersonal growth (Jordan et al., 2002). An understanding of
emotional knowledge assists individuals to recognise how emotions can blend and
change over time (Mayer et al., 2000). Individuals who have high levels of EI
understand the causes of emotions, in addition to their consequences for themselves and
others (Zhou & George, 2003).
Keeping the example of the conflict situation as a point of reference, an individual
with skills in emotional knowledge would be able to understand how emotions can
progress during a conflict situation from a fairly low intensity emotion such as irritation,
22.
to a highly intense emotion such as anger or rage and how these emotions can lead to
specific behaviours. Understanding this type of emotional cycle or progression of
emotions can assist individuals with high EI to explain and cope with these cycles by
supporting themselves and others to moderate their occurrence (Lopes et al., 2005).
Managing Emotions
Managing or regulating emotions to aid problem-solving is the final branch of
Mayer and Salovey’s (1997) EI model. Clearly, unmanaged emotions can compromise
effective decision-making in organisations (Zhou & George, 2003). The skills and
abilities of emotional regulation comprise the management and control of own emotions
by moderating the unpleasant and enhancing pleasant emotions (Boss & Sims, 2008), in
addition to the ability to regulate the emotions of others (Mayer & Salovey, 1997).
Although on the surface it may seem as though the regulation of emotion is synonymous
with emotional suppression (Ben-Ze’Ev, 2002), Mayer et al. (2000) contend that the
management of emotions should be used as a tool to encourage situationally appropriate
openness to emotion in both self and others (Caruso & Salovey, 2004). As Lopes and
his colleagues (2005, p. 57) state, this branch of EI may help individuals within the
workplace to ‘get others excited about a project, provide performance feedback without
hurting others’ feelings, and diffuse conflicts in a team’.
The conflict situation again provides an example of how emotions can be
regulated and managed in the workplace. To successfully resolve conflict, emotional
self-control has been shown to be a paramount skill (Jordan & Troth, 2004). This is
because an individual with the ability to manage their own emotions would be able to
moderate the negative emotions they are experiencing during conflict and, instead,
enhance positive emotions to resolve the conflict. Individuals with these skills would be
able to assist others affected by the conflict to moderate the display of any spontaneous
feelings that could lead to dysfunctional outcomes.
Measuring Mayer & Salovey’s Four-branch Model
A variety of measures have been produced to measure Mayer and Salovey’s
(1997) model of EI. As with the scales that have been developed to measure the mixed
EI models, these measures do have their limitations (Jordan & Ashkanasy, 2008). In line
23.
with the ability model of EI, Mayer et al. (2001) developed the Mayer-Salovey-Caruso
Emotional Intelligence Test (commonly referred to as the MSCEIT) based on their
previously created Multi-factor Emotional Intelligence Scale (MEIS).
The MSCEIT is a 141 item assessment scale that measures how well individuals
perform specific emotions-focused tasks. Respondents receive a total EI score, two area
scores, four branch scores and eight task scores. The two area scores cover experiential
EI and strategic EI. Experiential EI relates to an individual’s ability to perceive
emotional information and to use this information to facilitate thought. Strategic EI
covers a respondent’s ability to understand emotional information and to use it for self-
management. Additionally, participants receive a score for each of the four branches of
EI.
Respondents also receive scores for each of the eight tasks they complete. These
tasks include faces (identifying emotions from facial expressions), pictures (identifying
emotions from music, art and the respondent’s environment), sensations (linking
emotions to sensations), facilitation (knowledge of how moods support thought), blends
(analysis of emotion blends, simple emotions and complex emotions), changes
(identifying emotional transitions), emotion management (the use of emotions in
decision-making), and emotional relations tasks (using emotions in decisions that affect
others) (Mayer, Salovey & Caruso, 2002).
This measure has been subjected to testing alongside other scales of EI (such as
the ECI and EQ-I) and has demonstrated discriminant validity over and above the Big
Five (MacCann et al., 2003). However, there have been reliability issues associated with
the MSCEIT (Jordan & Ashkanasy, 2008). In particular, the branches of understanding
and regulating emotions have shown in two studies (see Ciarrochi et al, 2000; Lam &
Kirby, 2002) poor Cronbach Alpha reliabilities. Despite these issues, the MSCEIT is a
popular ability-based measure that is used extensively in EI research (Brackett & Mayer,
2003).
Self-Report Tests of the Ability Model of Emotional Intelligence
According to MacCann and Roberts (2008, p. 540), using only one measurement
method to research EI is a ‘suboptimal state of affairs’. The authors support that
alternate measurement instruments are not only possible, but necessary for the field.
24.
Therefore, in addition to the MSCEIT, several self-report measures based on Mayer and
Salovey’s (1997) definition of EI have been developed to measure the construct. These
include the Schutte Self-Report Inventory (SSRI: Schutte et al., 1998), the Swinburne
University Emotional Intelligence Test (SUEIT: Palmer & Stough, 2001), the Trait Meta
Mood Scale (TMMS: Salovey, Mayer, Goldman, Turvey, & Palfai, 1995), the Wong
and Law Emotional Intelligence Scale (WLEIS: Wong & Law, 2002), the Workgroup
Emotional Intelligence Profile (WEIP: Jordan et al., 2002) and the Situational Test of
Emotional Understanding (STEU) and the Situational Test of Emotion Management
(STEM: MaCann & Roberts, 2008).
As with the MSCEIT, there are issues surrounding the use of self-report measures
to assess EI. Despite the issues, self-report data collection is relatively easy to collect
and does provide useful information regarding emotions that are experienced by
respondents (Jordan & Ashkanasy, 2008). Furthermore, Jordan and Ashkanasy (2008)
state that the awareness and management of emotions branches of EI are well suited for
measurements via self-report mechanisms and therefore may be the most appropriate
means to measure EI. What is exiting about the new STEU and the STEM measures of
EI is that recent analyses have revealed their association with other EI measures
including performance-based ability EI measures (Libbrecht, Lievens & Côté , 2009).
To simplify the categorisation of research conducted using these differing
measures of EI, Ashkanasy and Daus (2005) have presented a classification of the broad
streams in which the measures and research in EI can be placed. Stream 1 denotes
research undertaken within the ability model and using the Mayer-Salovey-Caruso
Emotional Intelligence Test to assess EI abilities (MSCEIT: Mayer et al., 2001). Stream
2 research is also based on the ability model; however, measurement methods are
generally self-report in nature, as presented above (see Jordan et al., 2002). Stream 3
refers to research undertaken and measured using mixed models of EI. The research
presented within this thesis will be undertaken within Ashkansy & Daus’ (2005) stream
2 of research and will use Jordan et al’s. (2002) WEIP self-report to measure the EI of
participants. A rationale for the use of this measure will be provided in Chapter Four.
25.
Emotional Intelligence Research
As EI has continued to gain popularity, so, too, have the arenas in which the
construct is said to produce benefits (Cherniss & Adler, 2000; Jordan et al., 2003). One
such area is the workplace (Abraham, 1999; Johnson & Indvik, 1999; Jordan et al.,
2006). A growing body of research is emerging in the field with researchers such as
Elfenbein (2007) giving EI researchers the task of ensuring they make specific
predictions and research the individual abilities of EI, rather than making overarching
predictions on the efficacy of EI as a whole. Studies are being conducted in a range of
areas including, organisational change (Huy, 1999: 2002: 2005), organisational structure
(Sy & Côté, 2004), organisational learning (Gabriel & Griffiths, 2002; Hopfl &
Linstead, 1997), leadership (Barling, Slater, & Kelloway, 2000; Cooper & Sawaf, 1997;
George, 2000; Mayer & Caruso, 2002; Palmer et al., 2001; Wang & Huang, 2009; Zhou
& George, 2003), entrepreneurship (Cross & Travaglione, 2003), work teams and work
groups (Druskat & Wolff, 2001, 2008; Goleman, Boyatzis, & McKee, 2002; Jordan et
al., 2002; Sy et al., 2005; Wolff, Pescosolido & Druskat, 2002), performance (Austin,
2004; Côté & Miners, 2006; Day & Carroll, 2004; Jordan et al., 2002; Lam & Kirby,
2002; Tischler, Biberman, & McKeage, 2002), job insecurity (Jordan et al., 2002),
conflict (Jordan & Troth, 2004), interpersonal relations (Schutte et al., 2001) and
psychological wellbeing (Carmeli, Yitzhak-Halevy, & Weisberg, 2009). Although
undertaken from differing streams (as outlined above), these studies have produced
significant advances in our knowledge of EI. What is clear from the above-mentioned
research is that EI has a positive impact on behaviour within organisations. What is
unknown, and is the purpose of this thesis, is whether training in EI abilities can
enhance these outcomes. Prior to a discussion of the potential efficacy of training EI in
organisations, the following section of this chapter examines some specific outcomes of
the above research.
Organisational Change, Structure and Learning Research
A range of researchers have proposed relationships between emotions and
organisational change, organisational structures and organisational learning (Chiva &
Alegre, 2008; Ericksson, 2004; Fox & Amichai-Hamburger, 2001; George & Jones,
2001; Huy, 1999, 2002; Jordan & Troth, 2002; Kiefer, 2005; Marks, 2007; Vince,
26.
2006). One of the first to research in the area was Huy (2002). Huy (1999) first proposed
a multi-level theory of emotion and change suggesting that EI facilitates adaptation and
change in individuals, and emotional capability facilitates change at the organisational
level. To explore these propositions, Huy (2002) completed a three-year theory-building
research project in a large organisation undergoing radical change. The author
investigated how middle managers could either facilitate or inhibit successful
organisational change by either managing or mismanaging employee emotions. Huy
(2002, p. 33) proposed that ‘emotional balancing’ might assist the process. The results
from his study demonstrated that managers who undertook emotional balancing
behaviours by, (a) displaying emotional commitment to a personally championed change
project and, (b) attending to the emotions of impacted parties’ during the change
process, assisted their work groups in effectively adapting to the organisational change.
Huy (2002) concluded that emotional balancing may be beneficial to all types of
organisational change projects including continuous change and that further research
should be undertaken to explore the area.
To date, little research has been undertaken in the area of organisational structure.
However, Sy and Côté (2004) do propose that the four branches of EI have the potential
to enhance the performance of matrix organisations. Their conceptual research indicates
that the four main interpersonal challenges impeding the successful functioning of a
matrix organisation (namely misalignment of goals, unclear roles and responsibilities,
untimely and low quality decisions, and a silo-focused mentality) can be effectively
overcome through the coaching and training of EI skills and abilities. Clearly, these are
interesting propositions that require significant future research.
A subsequent area requiring empirical research is the relationship between EI and
organisational learning. Notable work in this field has been conducted by Hopfl and
Linstead (1997), Fineman (1997), Gabriel and Griffiths (2002), and more recently,
Chiva and Alegre (2008). Hopfl and Linstead (1997) and Fineman (1997) contend that
organisational systems traditionally focus on rationality at the expense of emotion. A
consequence of this rational perspective is that individuals within organisations know
less about their emotions than they should (Hopfl & Linstead, 1997). Fineman (1997)
states that managers within organisations now need to become emotionally literate to be
able to manage their own and others’ organisational lives. Hopfl and Linstead (1997)
conclude by outlining the enormous potential in the area of emotions and organisational
27.
learning, encouraging academics and practitioners to conduct research to extend our
understanding of this field.
Gabriel and Griffiths (2002) also explored EI (and, in particular, managing
emotions) from the perspective of organisational learning. The authors examine
emotions from a social constructionist perspective, viewing organisations as emotional
arenas where individual emotions are played out in front of audiences. Gabriel and
Griffiths (2002) conclude by suggesting that EI interventions should not be treated as an
organisational control mechanism, but as a tool to help individuals make sense of the
organisations in which they are employed.
Finally, Chiva and Alegre (2008) recently conducted an empirical research project
with ceramic tile manufacturing companies in Spain to determine whether
organisational learning capability (OLC) mediates the relationship between EI and job
satisfaction. A total of 157 individuals completed questionnaires containing the OLC
instrument (Chiva, Alegre, & Lapiedra, 2007), Schutte et al’s. (1988) self-report EI
measure and a single global job satisfaction item. The results supported all the research
hypotheses, finding, that OLC mediated the relationship between EI and job satisfaction,
a positive relationship between EI and OLC, and that a positive relationship exists
between job satisfaction and OLC. The researchers conclude by stating that emotionally-
intelligent individuals increase their skills and job satisfaction when OLC exists within
organisations and, therefore, organisations should work to produce positive conditions
for OLC to occur.
The theoretical and conceptual research outlined above demonstrates that
organisational change efforts, the effectiveness of organisational structures and the
process of organisational learning, have the potential for enhancement through the
emotional abilities of both managers and subordinates. What is noted is that training in
these abilities may assist this process (Sy & Côté, 2004). The research conducted in this
thesis will be undertaken to ascertain whether abilities such as emotional balancing
(Huy, 2002), emotional literacy (Fineman, 1997) and emotional learning (Gabriel &
Griffiths, 2002; Hopfl & Linstead, 1997) could be further enhanced through emotions-
focused training.
28.
Team Research
Druskat and Wolff (2001; 2008) are just two of the researchers that have
examined the link between EI and teams. In their research, the authors present a model
to enhance team-EI based around the establishment of norms. These researchers contend
that by establishing EI-related norms, teams can build trust, identity, efficacy,
cooperation and collaboration to achieve higher levels of performance (Druskat &
Wolff, 2001). Wolff and his colleagues (2002) then tested their theory of EI and
leadership emergence in self-managing teams with full-time MBA students. Using
Boyatzis’ taxonomy of managerial competencies (1982) and critical incident interviews,
the authors found that EI (particularly empathetic skill) related to leadership emergence
in the self-managed teams. In 2008, Druskat and Wolff extended their model to
examine group-level EI and social capital. The authors suggest that managers can assist
their work groups to develop group emotional competence (GEC) and social capital
(trust, group identify, group efficacy and networks). Druskat and Wolff (2008) provide
a ‘map’ that managers can use to understand the dimensions of GEC, understand group
behaviours that will facilitate GEC and therefore support the creation of group social
capital.
Offermann and her colleagues (2004) conducted research using mixed measures of
EI to examine the relationship between EI and performance in groups. The authors used
an individual and group survival scenario task and a project within their study. The
research, undertaken with undergraduate business students, found that EI predicted team
performance in the task, but did not predict individual performance in the same task
(cognitive ability was found to be more related to individual academic performance). An
additional finding was that teams with higher EI performed better on the team project.
With the use of teams in organisations becoming the norm, academics,
practitioners and organisations are all seeking to uncover ways in which teams can
interact and perform more successfully. The above studies demonstrate attempts to
explore the relationship between EI and team effectiveness; however, they have not
explored the training of emotions-focused abilities. For instance, the Druskat and
Wolff’s (2001) research outlines the proposition that EI-related norms can lead to
increased team performance, but does not explore whether the ability to set these norms
within teams can be enhanced through training. If the results of the studies conducted
within this thesis provide evidence that EI can be enhanced through training, then
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research examining the outcomes of this training with regard to team performance can
be successfully undertaken.
Leadership Research
The relationship between EI and leadership has received much wider attention. In
his article focusing on emotional leadership, Humphrey (2002) suggests that research
examining the relationship between EI and dimensions of leadership, such as
charismatic and transformational leadership, in addition to task and relationship-focused
leadership behaviours should be undertaken. Ashforth and Humphrey (1995) also call
for studies of the relationship between emotions and transformational leadership to be
carried out. Additionally, Zhou and George (2003) contend that a leader’s EI could
contribute to the promotion of employee creativity in the workplace.
Mayer and Caruso (2002) posit that EI plays a vital role in leadership, reporting
that leaders with high levels of EI have the ability to build stronger teams and
communicate more effectively with organisational members at all levels. More recently,
Humphrey, Pollack and Hawver (2008) propose that emotionally-intelligent leaders
possess the ability to effectively perform emotional labour within organisations. George
(2000) also supports this notion and states that ‘at a minimum, emotions and EI are
worthy of consideration in the leadership domain’ (2000, p. 1046). Brown and Moshavi
(2005) go even further by stating that EI may well be the ‘X-factor’ in transformational
leadership proposing that, (a) EI could be an antecedent to transformational leadership,
(b) EI may moderate transformational leadership and, (c) EI is independent of
transformational leadership behaviours. However, Kellett, Humphrey and Sleeth (2006,
p. 157) caution that it is not enough for leaders to simply ‘be emotional’ and possess the
ability to express their feelings, leaders must also possess the full range of EI skills and
abilities.
Much of the empirical research in the EI/leadership domain has examined the
characteristics of EI that may be present in differing individual leadership styles. In
2000, Barling et al. (2000) conducted a study to determine whether EI and
transformational leadership behaviours are linked. The authors found that the
characteristics of a transformational leadership style, as measured by Bass and Avolio’s
(1990) Multifactor Leadership Questionnaire (MLQ), were related to EI measured using
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BarOn’s EQ-i (1997). The authors then proposed that research should be undertaken to
determine whether leaders could be trained in the use of transformational leadership
behaviours within the workplace.
Palmer et al. (2001) explored this relationship with students in a university
business program. Using the Trait Meta Mood Scale (TMMS: Salovey et al., 1995) and
the MLQ (Bass & Avolio, 1990), the authors sought to determine whether EI is higher
in transformational or transactional leaders. Their initial analysis did not support their
predictions; however, subsequent analyses did uncover a relationship between the
subscales. In particular, relationships between emotional monitoring and inspirational
motivation, and idealised influence were found, leading the authors to state that they are
cautious yet optimistic about the links between EI and transformational leadership.
Gardner and Stough (2002) then used the SUEIT (Palmer & Stough, 2001) and the
MLQ (Bass & Avolio, 1990) to explore the relationship between EI, transformational,
transactional and laissez-faire leadership. The results were partially supported because
the researchers found a strong negative relationship between EI and laissez-faire
leadership. In their discussion of these results, the authors propose that the negative
relationship between EI and laissez-faire leadership may be due to a distinct deficit in EI
skills and abilities in this type of leader and concluded that laissez-faire leaders would
benefit from EI training.
Following on from this study Downey, Papageorgiou and Stough (2005)
conducted additional research to determine the relationship between EI and
transformational leadership. The difference in this study, however, was that in addition
to using the SUEIT (Palmer & Stough, 2001) and the MLQ (Bass & Avolio, 1990), the
researchers used the TMMS (Salovey et al., 1995) and the Cognitive Style Index
(Allinson & Hayes, 1996) — a measure that assesses intuition in managers. In addition,
this study was conducted with female managers. The results showed a positive
relationship between transformational leadership, the three dimensions of the SUEIT
(understanding emotions, emotional management and emotional control) and two
dimensions of the TMMS (attention to feelings and clarity of feelings). Interestingly, a
positive relationship was found between transformational leadership dimensions
(namely, contingent rewards and the workplace dimension) and the EI dimensions of
emotional management and clarity of feelings. When discussing these results, the
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authors proposed that subordinates might view the use of contingent rewards by their
leaders as an indication that their emotions were being considered.
In addition to examining the relationship between EI and transformational
leadership, Mandell and Pherwani (2003) were interested in assessing gender
differences. In their study of 32 managers, the authors used Bar-On’s (1996) EQ-I
(mixed model of EI) and a revised version of the MLQ (Bass & Avolio, 1995). The
authors found that females reported significantly higher EI scores than males (a finding
that has previously been reported by Mayer & Geher, (1996) and Mayer et al., (1999),
and subsequently reported by Brackett, Mayer & Warner, (2004)). There was also a
significant positive relationship found between EI and transformational leadership (with
no gender differences).
Using their own measure of EI, Wong & Law (WLEIS: 2002) explored the
relationship between EI, performance and attitude in both leaders and followers. While
the results showed that leader EI is positively related to follower job satisfaction and
extra-role behaviours, no relationship between leader EI and follower job performance
was uncovered. However, data obtained from followers demonstrated a link between EI
and job performance (moderated by emotional labour) and job satisfaction. Finally,
using in-depth structured interviews (using Mayer et al., (2000) and Goleman’s (1998)
models as a basis for the questions), Cross and Travaglione (2003) assessed EI in
successful entrepreneurs. These results demonstrate that entrepreneurs received high
scores in overall EI and in each of the individual branches.
Finally, in a study with a large Australian Public Service organisation, Rosete and
Ciarrochi (2005) examined the relationship between EI (measured using the MSEIT
V2.0 (Mayer et al., 2002) and workplace performance outcomes of leadership
effectiveness. The authors found that total executive EI correlated with their ability to
achieve organisational goals. Additionally, leader perception and understanding of
emotions were linked to specific core leadership behaviours (such as cultivating
productive working relationships, exemplifying personal drive, integrity and
communicating with influence).
The research described above demonstrates that many facets of leadership can
benefit from the possession of higher levels of EI. Although various authors have
suggested that emotions-focused training may assist leaders to become more effective
(Barling et al, 2000; Gardner & Stough, 2002; Riggio & Reichard, 2008), what is still
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unknown are the outcomes that such training would generate. The research conducted in
this thesis will, therefore, examine whether training in emotions-focused abilities can
increase EI. If this is the case, the EI training could be used in future leadership studies
with the aim of testing its contribution to increased leadership effectiveness.
Performance Research
A range of authors have proposed that being emotionally intelligent leads to
increased individual and work team performance (for example, Caruso & Salovey,
2004; Law, Wong, & Song, 2004; Law, Wong, Huang, & Lee, 2008; Lopes, Grewal,
Kadis, Gall, & Salovey, 2006). Current empirical research is now moving us closer to
understanding this association. In a study conducted by Jordan and his colleagues
(2002), 448 undergraduate students took part in an IS program conducted over a
fourteen-week period. The results of this study showed that teams with the lowest
average EI (as measured by the WEIP: Jordan et al., 2002) significantly improved their
process effectiveness and their goal focus over the training period. However, there were
no significant changes in performance for the high EI teams (Jordan et al., 2002).
Day and Carroll (2004) also conducted research to determine whether EI predicts
individual performance, group performance and group citizenship behaviours.
Undergraduate participants (70 male and 176 female) completed a cognitive decision-
making task that was representative of a managerial decision task. The results showed
that emotional perception predicted individual performance; however, there was no
relationship between EI and group performance. In terms of group citizenship
behaviours, high EI individuals reported their group members were more positive in the
areas of civic virtue and sportsmanship toward the group.
Carmeli and Josman (2006) then sought to determine the link between EI,
altruistic behaviours, compliant behaviours and task performance. Two hundred and
fifteen employees from Israeli organisations took part in the study. Data were collected
from participants, supervisors and subordinates. EI was measured using Schutte et al’s.
(1998) self-report measure, while altruistic, compliant behaviours and task performance
were assessed using items from a rage of different measures. The results showed three
of the EI factors (appraisal and expression of emotions, regulation of emotions and the
use of emotions) were positively related to task performance and altruistic behaviour,
while only partially related to compliance behaviours.
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In a study with university employees, Côté and Miners (2006) used the MSCEIT
V2.0 (Mayer et al., 2002) and found, in line with their hypotheses, that EI predicts task
performance and citizenship behaviours in individuals, and can compensate for low
cognitive intelligence. This research demonstrates that individuals with low cognitive
intelligence actually perform tasks more effectively and engage in citizenship
behaviours more often than those who possess high EI. This important study revealed
that instead of the relationship between EI and cognitive intelligence being linear (see
Mayer et al., 2000), there is an interactive effect between EI and cognitive intelligence
when examining task performance and citizenship behaviours.
Lopes et al. (2006) also examined the relationship between EI and work
performance in a Fortune 400 insurance company. Salary, merit increases, company
rank, interpersonal facilitation, affect and work attitudes were all examined with respect
to their association with EI (measured using the MSCEIT V2.0; Mayer et al., 2002). The
researchers found, in line with their predictions that EI correlated with company rank,
higher merit increases peer and supervisor rated sociability and contributed to a positive
work environment.
Sy, Tram and O’Hara (2006) explored employee and management EI (measured
by the WLEIS; Wong & Law, 2002) and its relationship to work performance and job
satisfaction in a food service franchise. The researchers found that employees with high
EI experience greater levels of job satisfaction and perform their work at higher levels
(after controlling for the Big Five) than those with low EI. In addition Sy et al. (2006)
found that the EI of a manager significantly impacted the job satisfaction of their
employees with low EI.
Finally, Wong et al. (2008) conducted research to determine the impact of EI on
the job performance of 102 research and development scientists in China. Using the
WLEIS (Wong & Law, 2002) and the MSCEIT (Mayer et al., 1999), the researchers
found that EI did, in fact, predict job performance in their sample of participants. What
is apparent from this and the research outlined above is the relationship between EI and
performance within organisations. Future research exploring whether these abilities can
be trained would be the next logical step in expanding understanding in this area.
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Conflict and Negotiation Research
A number of researchers have theorised that EI could be an important asset in
conflict resolution and negotiations (see Foo, Elfenbein, Tan, & Aik, 2004; Fulmer &
Barry, 2004; Jordan & Troth, 2002, 2004; Ogilvie & Carsky, 2002). In their research
examining EI and conflict resolution, Jordan and Troth (2004) found a relationship
between EI and the conflict resolution styles of both teams and individuals. Highly
emotionally-intelligent teams engaged in collaborative conflict resolution strategies,
whereas their less emotionally-intelligent counterparts used avoidance tactics to solve
conflict situations. At the individual level, collaboration and dominance were used by
individuals with high EI, depending on the situation at hand.
In terms of negotiation, Mueller and Curhan (2006) examined the relationship
between EI and negotiation in two separate studies with graduate students. In their first
study, the authors sought to determine the impact of a negotiator’s EI on their
negotiating counterpart’s outcome satisfaction. The results showed that the counterpart
of participants with a high level of ability in the understanding emotions branch of EI
rated their negotiation outcome as highly satisfactory. Mueller and Cuhran’s (2006)
second study replicated Study 1 and further explored whether positive mood mediates
the relationship between understanding emotions and counterpart satisfaction.
Additionally, the authors examined whether a negotiator’s ability to understand
emotions would result in increases in a counterpart’s liking and desire to negotiate with
the other party. The results of this study supported these hypotheses, with the
researchers concluding that the ability to understand emotions in a negotiation situation
can lead to more positive future negotiations and interactions between the parties.
In their EI related study, Elfenbein et al. (2007) examined the emotion-recognition
accuracy of undergraduate students in a negotiation task. The authors first reviewed the
research conducted to examine the correlations between emotion-recognition accuracy
and workplace performance. A total of 18 studies were examined in the meta-analysis.
The results demonstrated small to moderate effect sizes in professions such as
clinicians, school teachers, business managers, physicians and public servants. The
researchers then assigned participants to the role of buyer or seller for a mixed-motive
negotiation exercise. The results showed that sellers with high emotion-recognition
accuracy not only cooperated more effectively with their counterpart, but were able to
secure superior outcomes for themselves. Elfenbein et al. (2007) conclude by stating
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that further research on the relationship between the other EI branches and negotiating
successful agreements should be conducted. Additionally, the question was raised
whether training in emotions-focused skills could further improve individual negotiation
skills.
Interpersonal Skills Research
Research examining the relationship between EI and interpersonal relations in
organisational research is also emerging. An example of this can be found in Schutte et
al’s. (2001) research. The results of this study showed that EI and interpersonal relations
are linked. In particular, this study found that individuals who have good social skills
and engage in empathetic perspective taking, self-monitoring and cooperation have high
levels of EI (Schutte et al., 2001). The task now is to discover whether EI abilities can
be trained to improve interpersonal effectiveness within organisations.
In a related study with undergraduate students, Brackett et al. (2006) found that
males with high EI (measured using the MSEIT V2.0; Mayer et al., 2002) are perceived
more positively by others than those with lower EI. Specifically, high EI participants
were rated as showing a greater interest in a confederate, being more socially engaged,
competent and were team players. Additionally, in their study of emotion regulation,
Lopes, Salovey, Côté, and Beers (2005) found that participants with higher EI (as
measured by the MSCEIT V2.0; Mayer et al., 2002) were rated more favourably by their
peers in their prosocial tendencies and interpersonal sensitivity. Furthermore, these
individuals received more positive than negative peer nominations and reciprocal
friendship nominations. The authors go on to suggest that training in emotion regulation
may assist individuals to interact more effectively with others.
Brackett et al. (2004) conducted research with undergraduate psychology students
to determine the link between EI (as measured by the MSCEIT; Mayer et al., 2002),
personality and ‘Life Space’ behaviours (the ‘external, observable, discrete aspects of a
person’s surrounding environment’, (Brackett et al., 2004, p. 1390)). Analyses revealed
male respondents with low EI (specifically in the areas of awareness of emotions and
facilitation of emotions) were more likely to engage in negative behaviours and have
negative relationships with friends. Only two small positive relationships were found in
the overall data (male and female results combined), namely, the care of physical
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appearance and positive relationships with friends. As with the Lopes et al. (2005) study
outlined above, the authors suggest that training adults (and males in particular) may
lead to more adaptive behaviours in individuals (Brackett et al., 2004).
Two further studies examining the relationship between EI and social interactions
were undertaken by Lopes, Brackett, Nezlek, Schutz, Sellin and Salovey (2004). The
first study (conducted with 118 USA undergraduate students) hypothesised that EI,
measured using the MSCEIT V2.0 (Mayer et al., 2002) (particularly the managing
emotions branch) would be positively related to individual and friend reports of
friendship quality and would explain this quality of friendship over the variance
explained by the ‘Big Five’ (as measured by the NEO-PI-R: Costa & McCrae, 1992).
The results supported the hypotheses, with relationships still remaining significant after
controlling for the ‘Big Five’. The author’s second study (conducted with 103 German
undergraduate students) proposed that participant EI (particularly the managing
emotions branch) would be positively associated with individual reactions to social
interaction and perceived success in impression management. As with Study 1, the
proposed hypothesis was that EI would explain the relationship over the variance
explained by the ‘Big Five’. Analyses revealed significant relationships, specifically
with opposite sex participants, even after controlling for the ‘Big Five’. The authors
propose an explanation for the opposite sex results as being due to male/female
interactions being more arousing and emotionally challenging and, therefore, requiring
skills in emotional management.
Emotional Intelligence and Training
This review of the empirical research demonstrates that a significant amount of
work has been, and continues to be, conducted in examining the EI construct in
organisations. As has been outlined throughout this review, one area that has not been
explored in great depth is the impact of training on EI abilities. Although EI training has
been suggested as the next step in understanding the field (Barling et al., 2000; Brackett
et al., 2004; Gardner & Stough, 2002; Lopes et al., 2005), there has been little empirical
research published that examines the impact and effectiveness of training for adults
(Lopes et al., 2005). There are two major reasons why a lack of research has been
conducted within this area. First, there is still a debate on whether EI can be changed
37.
and/or learned (Clarke, 2006a). Second, many EI training interventions have been
developed as commercial ventures and, therefore, are subject to commercial-in-
confidence considerations.
In respect of the first issue, Horn and Cattell (1966) argue that intelligence can be
divided into two distinct factors — fluid intelligence or the adaptability and basic
reasoning ability of an individual, and crystallized intelligence or the level of ability in
skills valued by that individual’s culture. While the former is generally thought not able
to be learned, the latter increases with experience and, therefore, can be changed.
Although most authors working in the field of EI have described EI as a crystallized and
therefore a mutable ability (Ashkanasy & Daus, 2005; Davies et al., 1998; Jordan &
Ashkanasy, 2008; Mayer & Salovey, 1997), others claim that there is an element of fluid
intelligence involved in the construct (see Cooper & Sawaf, 1997). Recent research has
demonstrated that EI is a form of crystallized intelligence (Farrelly & Austin, 2007).
Clearly, if EI abilities can be trained, it is more likely to be a crystallized intelligence.
The studies presented in this thesis are premised upon the notion that EI is a form of
crystallized intelligence. Training interventions, measurement and data analysis were
undertaken to provide evidence to further support this assertion.
A further reason for the lack of peer-reviewed empirical studies on EI training in
the existing literature is that, until now, interventions focused upon training EI have
mainly been developed by management consultants. Indeed, a simple search on the
Google search engine yields thousands of references to EI and training, with many of
these being advertisements for consultancy courses. Owing to the commercially viable
benefits associated with offering such training opportunities to organisations, the ideas
and outcomes have not been readily shared within the academic and practitioner
communities. EI training interventions that are currently available are said to be
producing positive benefits for the organisations that use them (Kunnannatt, 2004;
Schmit, 2006). However, these interventions would undoubtedly benefit from open
theoretical development, empirical testing and peer review. This process would uncover
the actual benefits of training EI skills and abilities (Clarke, 2006a; Jordan, Murray, &
Lawrence, 2009), addressing the concerns raised by researchers on the validity of the
construct and its links to performance improvements (Ciarrochi et al., 2000; Dulewicz
& Higgs, 2000; Jordan et al., 2002).
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As time progresses, research examining the training in EI is beginning to emerge
in academic fields. A specific example of the work being conducted in the area can be
found in the 2007 edited book by Ciarrochi and Mayer. The authors have constructed a
practitioner’s guide to the application of EI in a range of settings including schools
(Brackett & Katulak, 2007) and workplaces (Boyatzis, 2007; Kornacki & Caruso, 2007).
In their chapter, Brackett and Katulak (2007) contend that EI training programs should
be based on the four-branch model of EI, because these branches provide a firm
foundation from which the changes in abilities can be ascertained. As Kornacki and
Caruso (2007, p. 55) state, that although this model of EI may seem logical and common
sense, ‘there is beauty in its simplicity’ as a framework for training and development.
The following section of this chapter will examine some of the empirical research that
has been conducted to enhance our knowledge in this area.
In terms of specific empirical research examining EI, Jordan et al. (2002) used the
WEIP and an intervention to conduct research with undergraduate business
communications students. Over a 12-week period, students formed work teams that took
part in team-based IS and problem-based learning sessions (attended short lectures and
team meetings) with the goal of preparing these students to work in organisational
teams. While there were significant differences between high and low EI teams at the
beginning of the course, the high and low EI groups had no differences at the end of the
12-week period. Jordan et al. (2002) concluded that the results may be due to either the
IS training, or normal team development processes and that future research should be
conducted to further explore these findings.
Slaski and Cartwright (2002, 2003) studied 120 retail managers from one retail
chain. The managers were divided into a control group of 60 participants and a training
group of 60 participants who were provided with an intervention that was framed upon
Cherniss and Adler’s suggestion for training EI (Cherniss & Adler, 2000). The results
indicated that the EI scores of the training group (measured using Bar-On’s EQ-i (Bar-
On, 1997) increased significantly from pre- to post-training. However, in terms of
performance there were no significant increases between the training and the control
group. The researchers attribute this result to the organisational measure of performance
used, which focused more on the cognitive competencies, rather than emotional
competencies (Slaski & Cartwright, 2003).
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More recently, Nelis et al. (2009) used a controlled experimental design to assess
whether EI could be trained in a group of psychology students. The experimental group
comprised of 19 participants and the control group consisted of 18 participants. All
participants completed a trait measure of EI (TEIQue: French Version, Petrides, 2009) at
three points in time. The experimental group also participated in an EI training program
in four two-and-a-half hour sessions facilitated over a four week period (and between
completing surveys 1 and 2). The third survey measure was then completed by all study
participants approximately 6 months after the completion of the training program. The
results of this study demonstrated a significant improvement in emotion identification
and emotion management for the training participants. In addition, these improvements
remained significant when measured six months later. Finally, the control group results
showed no change in EI across the three data collections.
Jordan and his colleagues’ (2002) study demonstrated that IS training and
problem-based learning opportunities allowed teams with low EI to ‘catch up’ to higher
EI teams over a 12-week period. What is particularly important about this study is that
the training interventions were simple IS with no EI skills included. The results of
Slaski and Cartwright’s (2003) and Nelis et al’s. (2009) studies provide evidence to
support the idea that EI can be improved through training. The research presented in this
thesis will extend and combine the research conducted by Jordan et al. (2002), Slaski
and Cartwright (2002; 2003) Moriarty and Buckley (2003) and Nelis et al. (2009) by
examining the impact of specific emotions-focused and IS training on the EI (total EI
and each of the branches) of participants within a large Public Sector organisation.
As discussed within this review, many academics, practitioners and organisations
are proposing that EI training programs can lead to positive outcomes for organisations
(Clarke, 2006a; 2006b). The task now is to extend the small number of studies that have
been conducted and to publish the empirical findings in this area to demonstrate the
efficacy of training EI. Therefore, the aim of this thesis is to conduct a quasi-
experimental research program consisting of studies that test the efficacy of different
training regimes (emotions focussed and IS) on raising the EI of individuals.
40.
Chapter Summary
The purpose of this chapter was to provide a survey of the literature and to identify
an opportunity for empirical research to be conducted. I have achieved this aim through
a systematic review of several areas of interest. The chapter commenced with an
examination of the differing models of EI by, firstly, presenting the mixed models and
measurements based on Goleman (1995) and Bar-On’s (2005) definitions of EI that
focus on emotional and social competencies. Secondly, the ability model of EI proposed
by Mayer and Salovey (1997) was presented, including empirical justifications of why
this particular model of EI provides the definitive model from which research into the EI
construct should be conducted.
A detailed explanation of each of the four branches of the EI construct (awareness
of emotions, facilitation of emotions, understanding emotions and managing emotions)
was then undertaken. Next, a summary of the research topics that have been studied in
relation to EI were presented. Fortunately for the field, a variety of empirical research
has been and continues to be conducted to demonstrate that EI is an important area of
research. Specific examples presented in this review included, the organisational change
and structure works of Huy, (1999, 2002, 2005), Sy and Côté (2004), group and team
research (Elfenbein, 2006; Druskat et al., 2006), EI and leadership (Wolff et al., 2006),
individual performance (Ashkanasy et al., 2004), interpersonal conflict (Jordan & Troth,
2004) and interpersonal relations (Brackett et al., 2004; Schutte et al., 2001).
An area where there has been a shortage of empirical research is that of EI and
training. Only a small number of research projects have investigated this relationship,
yielding some interesting results (Jordan et al, 2002; Moriarty & Buckley, 2003; Slaski
& Cartwright, 2002, 2003). The results of these studies demonstrate that additional
research within this area is warranted and timely.
In conclusion, the existing research presented in this review of the literature has
provided a sound direction from which this thesis’ research will stem. The results
gained from studying EI and training within organisations will undoubtedly extend our
knowledge of the EI construct. This will provide much needed empirical research and
will be of great interest to practitioners and organisations that continue to be interested
in this important area of organisational research. In the next chapter of this thesis, I will
provide an exploration of the work-related skills and abilities that link to Mayer and
Salovey’s (1997) four-branch model of EI. This will be followed by a discussion of
41.
what types of training interventions could be constructed to impart these work-related
skills and abilities within organisations.
42.
CHAPTER THREE
The Skills of Emotional Intelligence, Their Relationship to Emotional
Intelligence Abilities and Their Link to Work Competencies
Overview
As outlined in Chapter Two, when the four abilities of Mayer and Salovey’s
(1997) four-branch model of EI are viewed together, they represent a person’s overall
EI. The aim of this research is to conduct empirical research to determine if the skills
linked to these four branches (Mayer & Salovey, 1997) can, through training, increase
overall EI. If this relationship can be established, it is feasible that work-related
competencies would be enhanced through increased EI. This suggestion has been made
by a number of researchers (see Brackett et al., 2004; Fineman, 1997; Gabriel &
Griffiths, 2002; Gardner & Stough, 2002; Jordan et al., 2002; Lopes et al., 2005; Sy &
Côté, 2004).
In this chapter, I focus on presenting an in-depth discussion of specific skills
relating to the branches of EI that have the potential through training to improve overall
EI. Once the skills associated with the EI branches have been examined, an
identification of work-related competencies that could be enhanced through increasing
these baseline abilities will be presented. This explanation will include a description of
why each particular work-related competency is important and to which specific EI
branch the work-related competency relates.
Following this, a short discussion of the development of an emotions-focused
training intervention will be presented. Both the initial training and final training
program components will be presented. The activities contained within the intervention
are developed around the baseline abilities discussed within this chapter. In addition, an
in-depth discussion of the complete training program is contained within Appendix B
with a full set of program slides from the final training program being presented in
Appendix C.
43.
Exploring Emotional Intelligence Branch Abilities
Awareness of Emotions
The EI branch of awareness of emotion involves the ability to be aware of
emotions in self and in others (Mayer & Salovey, 1997). The specific self-awareness
skills incorporated in this ability include emotional self-awareness, self-awareness of
facial expressions, body language, bodily actions, verbal expressions and self-
presentation/self-monitoring. Awareness of others emotions skills include reading facial
expressions in others, the interpretation of others’ body language and awareness of
others’ verbal cues. In addition, there are skills within this branch that enhance other EI
abilities. These higher level (or more complex) skills include, awareness of own and
others’ values and attitudes (linked to awareness and understanding), reflection on
feedback and emotional clarity (both linked to awareness and management of emotions).
The following section will explore awareness of emotions skills in self, then others, in
further detail.
Emotional clarity involves skills in identifying, naming and clearly discriminating
among emotions experienced in self and others (Cherniss, 2000; Salovey et al., 1995).
The acknowledgement of emotions is focused on a person’s capacity to admit that the
identified emotion is actually being experienced and engaging or disengaging with these
emotions as appropriate (managing emotions). These skills complement many of the
skills mentioned previously in this section (such as awareness of facial expressions,
verbal, non-verbal and action cues). Research has shown that individuals who possess
emotional clarity are able to recover more quickly from an upsetting situation (see
Salovey et al. (1995) for a complete discussion). It could also be suggested that the
acknowledgement of these experienced emotions would facilitate the recovery process.
In a time where organisational change is frequent, possessing the skills to recognise,
acknowledge and manage experienced emotions (such as shock, anger, frustration and
sadness) undoubtedly assists individuals to move forward in a positive manner (Danes,
2005).
The skill of reflecting on feedback (given and received) within a workplace is a
further ability that is essential for the continued development of individuals (Caruso &
Salovey, 2004). This skill is both related to awareness and management of emotions.
Emotions such as joy, surprise, anger and disappointment are some of the emotions
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experienced during the feedback process. It is important for a person receiving feedback
to have the skill to identify the emotions that may result from this process. In addition,
managing reactions to emotions from the feedback received is a key skill to possess. For
the person delivering feedback, it is important to be able to perceive how the individual
about to receive the feedback may be feeling and to manage the process accordingly
(Caruso & Salovey, 2004).
Research has demonstrated that individuals with specific goal aspirations (such as
to successfully interview for a job) can self-monitor and manipulate their self-
presentation of emotions when communicating with other parties. These skills have
been shown to improve the chances of success (Fox & Spector, 2000). With this in
mind, training to improve these skills would lead to an increased awareness and
management of emotions in self and others.
Finally, linked to the understanding of emotions ability, a further area in which
awareness of emotions can be enhanced is through self-awareness of own and others’
values and attitudes. Awareness and understanding in this area can provide an indicator
of personal emotional triggers in self and others. An awareness of what we see as
important in our lives and our priorities can indicate areas in which we may become
emotionally engaged (that is, connecting with the emotions that are being experienced
(Jones & George, 1998). Furthermore, understanding the causes and the consequences
of emotional engagement can assist an individual in deciding whether their behaviour
may be appropriate for the situation. Training in skills to consider values and attitudes is
one way of achieving this. A second way is through actively reflecting on our
experiences and evaluating the emotions that were felt and the behaviour that resulted.
Recent research has demonstrated that awareness of other’s emotions is a factor in
performance (Jordan & Ashkanasy, 2006). One of the skills required is the aptitude of
an individual to perceive emotions from facial expressions (Ekman, 1993, 1999; Ekman
& Friesen, 1975). According to Planalp (1999) more research has been conducted on the
way that facial expressions convey people’s emotions than any other research into
emotional cues. Facial expressions are highly informative, whether or not the individual
intends for the information to be disseminated (Ekman, 1997). Therefore, awareness of
facial expressions is highlighted as a requisite skill in the awareness of emotions branch.
Reading body language and the interpretation of bodily actions (Planalp, 1999;
Planalp, DeFrancisco & Rutherford, 1996) are two further skills that can assist
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individuals to be more aware of the emotions expressed by themselves and others within
the workplace. Clear emotional signals are transmitted through our body language and
our actions. Examples such as clenched fists, folded arms, floor pacing, fidgeting and
slouching (Planalp, 1999) can provide information on our own or others’ emotional
states. Negative bodily actions such as door slamming, throwing items and fist
pounding, in addition to positive bodily actions such as clapping, provide information
about the emotions that a person is experiencing at work (Planalp, 1999). Awareness of
these body gestures and actions is important for intrapersonal perceptions and
interpersonal relationships within the workplace.
Although non-verbal behaviours are credited as definitive indicators of an
individual’s emotion (George, 2000), the voice is a further instrument through which
emotional information can be obtained (Banse & Scherer, 1996). Loudness, pitch and
timing are three dimensions of verbal expression (Planalp, 1999). In organisations
where individuals are not always face-to-face when they communicate, awareness of
these subtle nuances in a person’s voice can increase an individual’s awareness of the
emotions that are being conveyed. Increasing an individual’s skills in this area would
help avoid miscommunications and therefore lead to positive outcomes for individuals,
work teams and organisations. An overall summary and description of the awareness of
emotions skills related to EI and their relationship to EI has been developed for this
thesis and is presented in Table 1.
Facilitation of Emotions
The facilitation of emotions branch of EI refers to an individuals’ ability to
generate emotions in self and others to facilitate thought (Mayer, 2001). There are a
number of skills that increase an individual’s ability to successfully facilitate emotions
in self and others. These include, problem solving, prioritising thinking, skills in making
judgements, skills in perspective taking (Salovey, Bedell, Detweiler & Mayer, 2000),
using music and stories to generate emotions in self and others (Joung, Hesketh & Neal,
2006: King & Down, 2001; Van Buskirk & McGrath, 2002; Wilder, 1996) and
generating emotions in self and others that link to specific tasks.
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Table 1 Summary of Skills Related to EI Abilities Skills Relating to
EI EI
Ability
Perceiving emotions from facial expressions Reading emotions in body language Interpreting emotions from bodily actions Perceiving emotions in verbal cues Awareness of own values* Awareness of others’ values* Perceiving emotions through self-reflection Perceiving emotions from feedback* Emotional clarity*
Using emotions to aid task completion Generating emotions to assist problem solving Using emotions to prioritise thinking Using emotions to aid decision making Using emotions in perspective taking Emotional contagion Building emotion through music Building emotion through storytelling Building emotions with motivational speaking
Understanding own values* Understanding others values* Knowledge of self-reflection* Understanding emotional progressions Knowledge of emotional blends Understanding emotional cycles Understanding emotional triggers Knowledge of emotional transitions Knowledge of emotional relativity
Managing emotions during feedback* Emotional clarity* Managing emotional engagement Managing emotional disengagement Using display rules to manage emotions Using surface acting to manage emotions Using deep acting to manage emotions Managing emotions with emotions focused coping Reframing emotions Empathetic concern towards others
Awareness of Emotions (Self and Others)
Facilitation of Emotions (Self and Others)
Understanding Emotions (Self and Others)
Managing Emotions (Self and Others)
* denotes a skill that relates to more than one branch of EI
In relation to the generation of emotions in self, research has shown that differing
emotional states are required for successfully undertaking detailed work and for
generating creative ideas for a new project. Whereas the former may require a calm
approach (Schwartz & Bless, 1991), creative thinking calls for more positive emotions,
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such as enthusiasm or excitement, to assist with idea generation (Isen, Daubman, &
Nowicki, 1998; Isen, 2001; Salovey, Detwiler-Bedell, Detwiler-Bedell, & Mayer, 2008).
Clearly, if an individual is able to generate specific emotions that will assist in specific
work situations, their performance of the tasks related to those work situations will be
enhanced.
Individuals who possess emotional facilitation skills can use their emotions to
anticipate and generate appropriate feelings, in addition to anticipating and dealing with
the feelings of others when making work-related decisions (George, 2000) or solving
work-related problems (Schwartz & Bless, 1991). Research (Isen, 2001) has shown that
individuals in a positive mood increase their capacity to solve problems and to
successfully make decisions that require increased creativity. On the other hand, a
decision or problem that requires analytical reasoning can be effectively facilitated
under a negative mood (Isen, 2001; Schwartz & Bless, 1991). Facilitating these positive
and negative emotional states in others requires the skill of first tuning in to the
emotions of others before a specific emotion can be generated. According to Planalp
(1999), there are few individuals that possess the talent and skills of successfully tuning-
in to the emotions of others. Increasing this skill through training would be an important
step in enabling individuals to successfully alter the emotional states of others in the
workplace through the process of emotional contagion.
According to Kelly and Barsade (2001) being skilled in facilitating emotional
contagion allows individuals to transfer their moods and emotions to others. When
teams come together in organisations, individuals within the team are exposed to the
positive and negative emotions of others. These emotions are felt at differing levels of
intensity, leading individuals to become ‘infected’ by the emotions of others (Barsade,
2002; Hatfield, Cacioppo & Rapson, 1994; Kelly & Barsade, 2001). Facilitating
emotional contagion in others is a skill that can be used to increase emotional responses
in individuals. As mentioned previously, research has demonstrated that certain
emotional states lead to increased performance in both creative and analytical reasoning
tasks (Isen, 2001; Isen et al., 1998; Salovey et al., 2008; Schwartz & Bless, 1991).
Despite the positive outcomes associated with emotional contagion, it is important
to note that there are individuals in organisations who ‘infect’ others with emotions that
are not conducive to effective performance (Mann, Varey, & Button, 2000). For
example, when a team’s analytical problem-solving task needs to be completed, it may
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be wise to remove the individual from the task who is known to be the ‘clown’ of the
group, the one who always puts everyone else in a good mood. Undoubtedly this
person’s presence in a creative task could provide the spark that the group needs for
success; however, in the task mentioned above, their emotional state may impede the
calm, thoughtful and concentrated approach that would be required to solve this type of
problem. It is therefore important for individuals to be aware of the consequences of
emotional contagion and be skilled in ways to not only generate specific emotions, but
in how to counteract the sometimes-negative outcomes.
In addition to the above-mentioned skills, the use of music, stories and
motivational speaking are effective ways to facilitate emotions in the workplace
(Planalp, 1999). According to Wilder (1996), music is extremely effective in
transferring specific emotions to individuals and can be used to convey both public and
private emotions to others in addition to facilitating emotional responses from others. In
a workplace setting, the use of music to assist others to generate organisationally
relevant emotions (such as enthusiasm and excitement in an idea-generation session)
may lead to performance improvements when individuals harness specific emotions to
assist them with task completion.
Stories also have the power to generate organisationally appropriate emotions in
individuals (Joung et al., 2006; King & Down, 2001; Van Buskirk & McGrath, 1992).
Storytellers have the skills to engage their audience into feeling the emotions of the
characters and the situations that they are discussing. The listener can associate the
characters experiences with their own workplace experiences, thus further assisting
them in facilitating learning and generating emotions (Morgan & Dennehy, 1997).
Therefore, the use of storytelling will be demonstrated within the training program used
in this research as a tool to facilitate emotions that lead to benefits, such as improved
organisational communication and organisational learning (Gargiulo, 2005, 2006).
Understanding Emotions
Whereas the other branches of EI require the individual to apply abilities that link
emotion and cognition, understanding emotions or emotional knowledge is a branch of
EI that primarily relies on cognitive skills. The building of a low intensity emotion to a
high intensity emotion caused by a series of events occurring is known as an emotional
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progression (George, 2000). Examples of emotional progressions include anger
progressing to rage (Caruso & Salovey, 2004) and when fear evolves into panic
(George, 2000). During an anger progression the emotions experienced may increase in
intensity from irritation to annoyance, then to frustration, followed by upset, madness,
anger, fury and finally, rage. In her research into leadership and EI, George (2000)
highlights that an emotionally intelligent leader has the skills to be able to identify how
emotions can change over time. An understanding of these emotional progressions not
only for the leaders, but for anyone working within an organisational setting, is
extremely important, because many conflicts occur when emotions are allowed to reach
intense levels (Wertheim, 1998). Training in skills to promote a greater understanding of
emotional progressions in self and others could therefore help to lessen the instance of
conflict in the workplace (Jordan & Troth, 2004).
Understanding how emotions blend together and change over time is also an
important work-related skill. Examples of how emotions can blend together to create
negative outcomes include sadness and surprise blending together to form disapproval
or anger and disgust blending to create remorse (Ekman & Friesen, 1975; Lazarus,
1999). Conversely, positive blends such as optimism emerge from the blending of joy
and anticipation (Plutchik, 1980). Through increasing individual understanding of the
consequences of these complex emotional blends, individuals would be equipped with
the knowledge to understand the basis from which specific workplace behaviours arise
(Caruso, Mayer & Salovey, 2002).
Stemming from the work of James (2002) and James and Nahl (2000),
understanding the causes and the consequences of positive and negative emotional
cycles is an important capability in terms of enhancing the ability to understand
emotions in self and others. When an individual is in a positive emotional cycle,
feelings of self-confidence generate greater enthusiasm, leading to optimistic and
realistic thinking. This cycle enables the individual to behave in self-enhancing ways
(James, 2002). When an individual is consumed by a negative emotional cycle, these
feelings of self-confidence are replaced with feelings of inadequacy or depression.
These feelings lead the individual to think in pessimistic or cynical ways. These
behaviours then manifest themselves in self-destructive actions.
Emotional cycles not only impact individual behaviour, they affect behaviours
towards others in the workplace. During a positive emotional cycle, an individual’s
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enthusiasm and self-confidence leads them to act in a supportive and constructive
manner towards others. Equally, negative and self-destructive individual behaviours
lead to aggressive and destructive behaviours towards others. A focus on increasing
understanding and the ability to tune-in to the emotions (Planalp, 1999) associated with
emotional cycles through training could lead to the creation of enhanced supportive,
constructive and self-enhancing working environments.
Emotional triggers (known as emotional ‘hot buttons’) are events that cause an
intense emotional reaction in the individual affected. In their discussion on ethical
decision-making in organisations, Gaudine and Thorne (2001) state that emotional
triggers can cause a person to behave without taking the time to explore an alternative
course of action or the consequences that the behavioural reaction may elicit. These
reactions are not only dangerous in life and death roles, such as in fire fighting or police
work, but have negative implications in a variety of everyday work roles. Training to
increase an individual’s understanding of their own emotional triggers and the
consequences associated would be beneficial to the individual.
The knowledge of emotional transitions can also enhance an individual’s ability to
understand emotions in self and others (Mayer et al., 2004). An excellent work-related
example of these transitions is the differing emotions experienced by individuals during
organisational change. Adapted from the grief model proposed by Kulber-Ross (1973),
Danes (2005) examined the grief cycle in the context of organisational change. Dane’s
model clearly demonstrates that when change occurs, a natural primary reaction is to be
fearful. Once the initial shock has passed, fear then transitions to frustration and anger,
then sadness, guilt, shame and even jealousy before the individual is able to move
toward acceptance of the change. Evidently, if the understanding of these types of
transitions can be increased, then the appropriate guidance and support can be offered to
help the affected individual(s) move forward through the change as effectively as
possible.
Although the change situation presented above represents a good example of
emotional transitions, it does not discuss the relativity of emotions in such a situation.
The principle of emotional relativity is based on the premise that when presented with
the same situation or information, the emotional reactions or experiences of two (or
more) individuals may not be identical (Siemer, Mauss & Gross, 2007). For example,
two workers hear the news that their department is downsizing by half and they are both
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losing their jobs. The first individual may be fearful, upset and sad at their loss of
income, while the second individual might be glad or even excited because they were
hoping to be able to retire early with a redundancy payment. As can be seen from this
example, it is important for all concerned to understand emotional relativity when
dealing with individuals within the workplace environment.
Managing Emotions
Research demonstrates that emotions have the ability to alter thinking (Mayer &
Salovey, 1997). Therefore the engagement and disengagement from emotions is a key EI
skill that relates specifically to the management of emotions branch (Mayer & Salovey,
1997). An example of disconnection can be found in the anger research of Fitness
(2000), who found that disconnecting from anger in the workplace can prevent
dysfunctional conflict (associated with escalating non-productive conflict) and minimise
the possibility of negative relationships occurring (Amason, 1996). Likewise, the
capability to engage with an experienced emotion when suitable may provide similar
outcomes. However, the key in both situations is being able to successfully gauge the
circumstances at hand and respond in an emotionally appropriate manner.
In their research into facial expressions, Ekman and Friesen (1975; 1978) found
that ‘display rules’ are abilities used by individuals to manage involuntary expressions
of felt emotion and maintain self-presentation (Kramer & Hess, 2002). These display
rules include attending to, amplifying, restraining or totally hiding the involuntary
emotion and replacing it with another, more appropriate, emotional response (Ekman,
1997). Reasons for managing emotions through the use of display rules include
conforming to cultural norms (Planalp, 1999) or because of specific work requirements
(Ekman & Friesen, 1975). Hochschild’s (1983) research in the area of emotional labour
demonstrates that, in some occupations, workers are expected to display certain
emotions (Bono & Vey, 2005). An example of this phenomenon can be seen in Rafaeli
and Sutton’s (1987) research highlighting that flight attendants and check-out operators
are required to act in a friendly, cheerful manner, while on the other hand, bill collectors
and bouncers are required to convey hostility while in their work roles.
Problems occur, however, when the expected emotion does not match the
individual’s actual emotional state (Ashforth & Tomiuk, 2000). In these circumstances,
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individuals can engage in either surface or deep acting (Bono & Vey, 2005). Surface
acting relates to an individual displaying the required emotion on the surface through
their body language and facial and verbal expressions, but not actually feeling the
emotion. Deep acting, on the other hand, entails the process of actually modifying
emotions to feel and present the expected emotional state (Grandey, 2003; Hochschild,
1983). Research has shown that despite satisfying customers, surface acting actually
leads to increased stress and emotional exhaustion in individuals who engage in this
behaviour (Brotheridge & Grandey, 2002; Grandey, 2003). With this in mind, while the
use of display rules, surface and deep acting to regulate emotions would be extremely
useful skills to possess in work-related situations, it is necessary for individuals to
possess skills in managing these behaviours successfully.
Effective emotional coping is a skill that is often linked with high EI (Ashkanasy
et al., 2004). According to Lazarus and Folkman (1984), coping can be defined as an
individual’s skill in changing their behaviours to manage situational demands that are
appraised to be taxing on the individual. Emotion-focused coping, in turn, relates to an
individual’s skill in effectively managing the emotions that result from the stressful
situation (Lazarus & Folkman, 1984). Individuals with skills in managing emotions are
said to be able to cope well with their own emotions and, as a result, experience
enhanced emotional well-being (Bagshaw, 2000; Schutte, Malouff, Simunek,
McKenley, & Hollander, 2002).
It should be noted that individuals with high management of emotions skills use
emotional coping in dealing with others. For instance, in a time of high stress caused by
a workplace confrontation, an individual with advanced abilities to manage emotions
may encourage others to walk away from the situation and wait for the emotions of the
moment to subside before approaching the issue that caused the incident.
Further skills that relate to emotional coping are the skills to reframe emotions and
the capacity to repair emotions in self and others. Reframing emotions entails the skill to
assess a situation that has caused a particularly negative emotional reaction and to
attempt to reframe the situation so that a more positive emotional reaction can be
experienced (Ashforth & Kreiner, 2002). Emotional repair, on the other hand, is the
process of ‘getting through’ an emotional event that occurred, so that the individual can
begin to function effectively again (Salovey, Stroud, Woolery, & Epel, 2002). In an
organisational change scenario, the skill of being able to reframe and realise an event
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from an alternate perspective (the ability to reframe a redundancy as a positive
opportunity rather than the end of a working career) would assist individuals within a
workplace environment. However, when there is no ‘bright side’, it is important to be
able to work through the emotions experienced by engaging with emotions and seeking
help and support from colleagues.
Finally, empathetic concern would be a key skill to possess for assisting when
assessing an emotionally stressful situation being encountered by another person.
Empathetic concern relates to a person’s ability to show sympathy and concern to
another individual when they are experiencing a negative emotion, rather than reacting
in a purely self-serving way to the situation (Davis, 1983).
Linking Emotional Intelligence Abilities to Work Situations
The preceding section of this chapter has examined the skills that relate to each
branch of the ability model of EI. In the following section of this chapter, I apply a range
of EI skills to various work situations. Typical situations include teamwork, conflict
resolution, working effectively with others, dealing with change, coping with
organisational demands and managing work/life balance. I will outline these situations
and how they can be used to utilize EI and enhance an individuals’ understanding of EI.
Emotional Intelligence and Conflict Resolution
Conflict in organisations can result from a number of factors including
interdependence, power, status and cultural differences, goal ambiguity, the need to
allocate of scarce resources, interpersonal differences, disagreements relating to how
tasks should be carried out and the process that should be followed for success (Johns &
Saks, 2008). As outlined in Chapter Two, current research examining the relationship
between EI and conflict resolution styles has demonstrated that groups with high EI
actively engage in collaborative conflict resolution (Jordan & Troth, 2004). The
collaboration conflict resolution style entails those involved in the conflict placing equal
importance on the issue at hand and the relationship with the other party or parties
involved (Lewicki, Barry, & Saunders, 2007). In addition, this style places great
emphasis on a win-win outcome for both sides by examining the wider issues and the
needs of both parties.
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Individuals with enhanced abilities in the awareness of emotions and
understanding emotions branches of EI have been found to be more successful in
negotiations (Elfenbein, Foo, White, Tan, & Aik, 2007; Mueller & Cuhran, 2006). This
research determines that there is a relationship between EI and the successful resolution
of conflict in organisations: in effect, the higher a person’s EI, the more effective they
become. In the following section of this chapter, I will extend the above research and
provide a specific outline of how each the four branches of EI relate to this work
context.
In terms of the awareness branch, an in-depth awareness of the emotional cues
(verbal, facial and body) being given by the other party would be extremely beneficial
when dealing with a conflict situation or conducting a negotiation. In addition, the
parties must be acutely aware of their own emotions. Tone of voice, body language and
facial expression provide messages to the other party and indicate of how the resolution
is progressing. Those who are highly competent in their ability to recognise own and
others emotions realise the skills required and use them to work towards collaborative
win-win outcomes. Therefore, if individuals who do not possess this ability could
receive training in this area, it is reasonable to assume that their conflict resolution and
negotiation skills may improve.
As for facilitation abilities, tuning in to the emotions of the other party and
perspective taking would be crucial for conflict resolution and negotiation in the
workplace. In a highly emotive situation, actively ‘putting yourself in the other person’s
shoes’ could assist an individual to consider clearly the issue from the other party’s
perspective. This would assist the collaborative negotiation process because suggestions
for resolution could be made that take into account the needs of both sides, leading to a
greater opportunity for a win-win outcome.
In terms of understanding emotions, knowledge of emotional triggers, emotional
progressions and emotional cycles in self and others would again assist effective conflict
resolution. It is reasonable to assume that in a conflict situation certain information or
suggestions may trigger emotional reactions, such as anger, fear or sadness in self and
others. It is also reasonable to assume that once an emotion is triggered it could quickly
progress from a mild reaction to an intense emotional reaction. These reactions are a
natural part of an emotional cycle; nevertheless, it is crucial to understand the
consequences of these emotions and their potential impact on self and others.
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While understanding others’ emotional reactions is extremely important, it is
critical that the employee understands the causes and the consequences of their own
emotional responses in this type of situation. Paying attention to one’s moods, triggers,
progression and cycles would provide employees with an understanding of what the
outcome of their own emotional responses to the situation could lead to. If the purpose
of the negotiation is to generate a workable outcome for both parties, then emotional
understanding is an indispensable ability to possess.
In such an emotive circumstance, the ability of the employee to successfully
manage their own emotions and to assist the other party to manage their emotional states
would be of vital importance. Simply being sensitive to the emotional state of the other
party and using empathetic concern could assist the other party to manage their own
emotional state. In addition, assisting the other party to cope with their emotions and
engage in emotional repair so that they can move positively forward would be an
extremely helpful way in which to resolve a workplace conflict.
Emotional Intelligence, Teamwork and Working with Others
In addition to conflict resolution, teamwork and working with others are a further
two work contexts that require EI skills and abilities. Whether working on either a long
or a short-term project, in a self-managed, cross-functional or virtual team there are
certain skills an individual can possess to improve their effectiveness and performance
when working with others (Johns & Saks, 2008). As outlined in Chapter Two,
Offermann and her colleagues (2004) demonstrated that high EI led to higher
performance in team-based projects. These results lead to the question, if EI can be
increased through training, will this in turn lead to increased performance in teams?
With this question in mind, in the following section I will outline a series of skills
related to each branch of EI that, if developed through training within an emotions-
focused training program, may help to increase teamwork and working with others.
With respect to awareness of emotions, the ability to perceive facial, verbal and
bodily expressions of others would involve the possession of important skills when
working with others. These physical cues can provide an individual with vital
information regarding what other people working in the team may be expecting in terms
of behaviours and performance. Likewise, an individual must be aware of what
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messages their own verbal, facial and bodily expressions are providing to others.
Coupled with these skills are the skills in the perception of own and others’ values that
might be attached to team-related tasks.
An example of this can be seen when a team is working towards a deadline. In this
situation, the leader of the team may be giving clear messages through cues informing
team members of what is expected of them as they approach their deadline.
Additionally, awareness of the team leader’s values (keep working until the deadline is
met or all members must pull together to achieve success) would assist an individual
working within a team to determine the effort that is expected of them.
Next, in terms of facilitation of emotions, using emotional contagion to facilitate
task completion and decision-making would be a useful skill to possess when working
with others. Using the above example of an approaching deadline, facilitating a specific
emotional state in others would be an extremely beneficial way to help others get into
the right frame for task completion. In this case, it may be necessary to facilitate a more
negative emotional state in others so that they become aware that task focus is the main
priority. Similarly, when decisions need to be made or brainstorming needs to occur, it
may be pertinent to facilitate more positive emotions to assist others to be more creative
in their generation of solutions and ideas.
Skills related to understanding own and others emotions would be beneficial in a
team environment. Just as awareness of own and others’ values is important in this
situation, so, too, is an understanding or knowledge of the reasons why individuals may
hold the values that they do. The previous example relating to the approaching deadline
gives an excellent example of where values may differ within a team. One person may
have the expectation that all members should be committed and stay until the project is
fully completed, while another person who has fully completed their section of the
project may think that keeping the whole team behind while a few people finish their
work is totally unnecessary. In this situation, while there may be a disparity between the
values of the two parties, they both want the project to be completed to a high standard.
Having skills in perspective-taking and knowledge of how values differ would
undoubtedly prevent ill-feeling arising in such as situation.
Finally, in terms of management of emotions, the skills to achieve both the
engagement and disengagement of emotions would be helpful in a variety of team-
related situations. In terms of positive emotions, engaging with feelings of joy, pride and
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accomplishment at the completion of a team task would allow the individual and the
team members to celebrate their success. However, if your team’s success was at the
expense of another team’s failure, being able to manage emotions by disengaging from
the urge to celebrate in front of the defeated party is an important skill to possess.
Conversely, when a team is experiencing negative emotions caused by a threat or
possibility of failure, engagement with emotions such as anger and frustration may be a
way to refocus energies onto the task at hand.
Emotional Intelligence and Coping with Work Demands
Over the last decade, instances of stress related to the expanding of work demands
have increased within organisations (Johns & Saks, 2008). A variety of studies have
been conducted in the area and have reported that, in the USA for example, more than
40% of workers find the demands of their jobs to be very stressful, costing the USA
organisations in excess of US$100 billion per annum (Xie & Johns, 1995). In terms of
the relationship between work demands and EI, Nikolaou and Tsaousis (2002) found
that individuals with higher EI experienced less stress in the workplace and that EI
positively related to organisational commitment. Furthermore, Slaski and Cartwright’s
(2003) research demonstrates that training in EI skills led to increased individual EI and
positively impacted individual’s health and well-being within the workplace.
With respect to awareness of emotions, several EI skills could be employed to
increase an individual to cope with work demands. Self-reflection and emotional clarity
skills would be extremely useful, because they would allow an individual to clearly
identify specific emotions linked to the tasks they are completing. This reflection
process would enable an individual to become more aware of the particular work
demands that lead to specific emotional reactions. In addition, skills in reading the
verbal, facial and bodily cues of others would enable the same individual to become
aware when a work colleague was experiencing difficulty with the demands of a certain
work task.
Extending from this awareness, individuals could then attempt to facilitate the
appropriate emotions to assist either themselves or another party to complete the tasks
that may have been causing stress. Skills such as prioritisation thinking, perspective-
taking and storytelling would all be helpful in such a case. With respect to prioritising
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thinking, individuals experiencing multiple work demands could generate a calm
emotional state to assist them in successfully prioritising what they, as an individual,
have the skills to achieve and what tasks may require assistance from others to
complete. In terms of assisting others, the ability to perspective-take and consequently
physically feel the emotions that other person may be experiencing can lead to
suggestions for solutions to the issues. Combined with this, an individual can use stories
and recollections from the past of similar experiences to show the person experiencing
the work stress that there is a ‘light at the end of the tunnel’. Storytelling can even be
used to demonstrate to the other person exactly which methods have been successfully
used in the past by others to overcome such work demands.
Moving on to knowledge of emotions, skills in identifying emotional progressions
and emotional triggers could assist an individual to understand the causes of the work
stress and, if left untreated, to what the consequences of these demands will lead. This is
a skill that would assist individuals to understand their own emotional cycles and help
the same individual to understand the emotional cycles that others in the workplace
experience when they are attempting to cope with demanding assignments.
Once an understanding of the consequences of emotional reactions have been
clearly understood by the individual, they could then use emotional regulation skills to
select the most appropriate way to deal with their’s and others’ work demands. Skills
such as emotional engagement and disengagement, reframing emotions and empathetic
concern could all be used to manage the situation. For example, if a specific work
demand is causing the individual to feel negative emotions, such as shame or fear
because they cannot solve the problem themselves, engagement with these emotions and
a discussion of these emotions with a superior might lead that superior to take action to
alleviate these emotions.
Emotional Intelligence and Dealing with Organisational Change
Organisational change has now become commonplace in today’s organisations
(McShane & Travaglione, 2007). The reasons for change include advances in
information technologies, global competition, local competition, changes in the
workforce, economic issues and local and international politics (Robbins, Judge, Millet
& Waters-Marsh, 2008). The occurrence of change can lead to a variety of emotional
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reactions from individuals, based upon how the change is dealt with by the organisation.
Therefore, organisations need to look for ways to increase individual skills so that
change can be coped with. In his research with senior managers, Carmeli (2003)
proposed that individuals with high EI are better equipped to deal with the stresses
associated with organisational change. Slaski and Cartwright’s (2003) study with retail
managers then demonstrated that the training of EI abilities increased participant EI and
led to improvements in employee well-being and reduced stress. In the following section
of this chapter, I will extend upon Slaski and Cartwright’s (2003) work by outlining
specific EI-related skills that have the potential to improve an individual’s competency
to deal with change in an organisational context.
First, in terms of awareness of emotions, the process of self-reflection, reflecting
on feedback and emotional clarity are all skills that could be increased to assist an
individual with the stresses associated with organisational change. Adapted from the
model included in Elizabeth Kulber-Ross’ (1973) book entitled ‘On Death and Dying’
that examines the emotional cycle of grief, Danes (2005) has examined the emotions
linked to organisational change. Emotions such as fear, anger and shame are
commonplace when the change is perceived by an individual to be negative. On the
other hand, emotions such as happiness and pride may be felt when the change is
perceived as a positive. The process of self-reflecting on experienced emotions, that
have either been experienced when the change was announced or when feedback from
another party has been given, would enable an individual to identify their own personal
emotional reaction to that information. What is important at this point is for the
individual to have the skills to clearly identify which emotions they are experiencing.
Only at this point can the individual seek ways to deal with these emotional reactions.
In addition, the skills of reading others verbal, facial and bodily expressions can
provide key information about what emotions others are experiencing as a result of the
change. Individuals can have very different reactions to the same information owing to
differences in perception. Therefore, in addition to training individuals in skills to be
aware of their own emotions, it is necessary to provide these same individuals with the
skills to recognise the emotional reactions of others. As outlined earlier in this chapter,
verbal, facial and bodily gestures provide clear information regarding the emotions
being experienced by others (Banse & Scherer, 1996; Ekman, 1993, 1999; Planalp,
1999).
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Second, with regard to facilitation of emotions, using emotions in perspective
taking, motivational speaking and storytelling are all skills that could be used to increase
an individual’s skills to deal with change. In terms of perspective taking, it is important
for an individual to be able to effectively ‘feel’ the emotions being experienced by
others during a change process. Whether this is seeing the change from the perspective
of upper management or experiencing the emotions being felt by a fellow colleague, this
perspective-taking is a valuable skill to have in this situation. Once the emotions of all
parties have been taken into account, an individual can then engage in motivational
speaking to assist those who are experiencing a negative emotional reaction to generate
a more positive emotional response to the situation. Coupled with motivational
speaking, encouraging others to tell positive stories about the benefits of past changes
can help others to reframe their emotions and begin to work through the change at hand.
With respect to understanding emotions, the skills of understanding own and
other’s emotional cycles, emotional progressions and emotional triggers are necessary
skills an individual should possess when dealing with change. As has been mentioned
previously, when an individual is experiencing a positive or negative emotional cycle,
there is an impact on the individual’s behaviours and on their behaviours towards people
around them (work colleagues, friends and family). In an emotive situation such as
organisational change, knowledge of the triggers that might cause such emotional
reactions is required. These skills would undoubtedly help individuals to understand
their own and other’s emotional reactions to change.
Third, in terms of management of emotions skills, emotional repair, emotional
engagement, emotional disengagement and emotion focused coping strategies would all
be beneficial skills to possess when dealing with change. Emotional repair is the process
of ‘getting through’ or ‘getting over’ emotional events that happen to individuals within
the workplace. Coupled with this management skill are the techniques of emotional
engagement and disengagement techniques. These skills can be employed to help an
individual come to terms with the outcome of organisational change and choose the best
way to move on from the experience. Finally, emotions-focused coping skills could be
used (or developed through training) to assist an individual to manage the emotions
elicited in a stressful situation such as organisational change.
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Emotional Intelligence and Work-Family Conflict
Extending on the previous section, a final work context that has the potential to be
enhanced through EI skills and abilities is work-family balance. Work-family balance
refers to an individual’s attempt to balance their participation in the paid workforce and
the demands of caring for family members (including care for children or elders,
domestic duties and overall household management) (Burgess & Strachan, 2005;
Pocock, 2003). In his work examining the relationship between EI and work outcomes,
Carmeli (2003) found that senior managers with high EI were better able to manage
work-family conflict (that is, balance these demands) than those with low EI. Carmeli
(2003) states that it is not enough for organisations to have work-family policies in
place, rather, individuals must accept the responsibility for their own behaviours in this
regard and that EI may provide a key for assisting individuals with work-family
demands.
The results of this research clearly demonstrate that work-family balance skills
have the potential to be enhanced through the learning of EI skills and abilities. Looking
first at the awareness of emotions branch of EI, skills in recognising own emotions,
identifying personal values and having skills in perceiving facial, verbal and bodily
expressions in others could assist an individual to be more aware of the issues
surrounding work-family conflicts. With these skills, individuals would be able to
identify their own emotional reactions when work-family conflict occurs and have the
ability to gather information from friends and family members (and their emotions
toward the situation). Furthermore, an awareness of own values, particularly relating to
the importance of family issues, would allow an individual to be able to perceive when
work demands were beginning to interfere with family values.
In terms of facilitation of emotions, skills in perspective-taking and using
emotions to aid decision-making and to solve problems would assist an individual to
balance work and family commitments. With regard to perspective taking, individuals
with this skill would be able to place themselves in the emotional position of family
members who may be adversely affected by a partner’s or parent’s work demands.
Perspective taking would allow the individuals to identify the consequences of their
behaviours. From this point, the individuals could then seek ways to solve issues
associated with their work demands and make decisions with regard to what they may
do to redress the imbalance.
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At the same time, understanding the causes and consequences of the emotions
being experienced by family members would be extremely important. Individuals who
have the skills to understand the outcomes of a negative emotional cycle would possess
the knowledge that something must be done to alleviate the situation. These individuals
would then be able to actively manage their own and others’ emotions by employing
such skills as emotional disengagement (leaving work issues at work) and empathetic
concern (allowing others to clearly work through the emotions they have experienced as
a result of the work-life conflict).
Summary of Work Situations Requiring EI Skills
Outlined above are detailed examples of how the skills and abilities related to
each branch of EI relate directly to work contexts broadly required by employees
working in an organisation. Whilst these examples give a good overview, they are not
an exhaustive list of the work contexts that have the potential to be improved through
the provision of training in EI abilities. This review has revealed that there is a link
between the four branches of EI (Mayer & Salovey, 1997) and specific work contexts.
The linking of these areas provides a framework upon which to build a training
program. Because the purpose of this thesis is to determine whether EI can be increased
through training within organisations, the remainder of this chapter will discuss the
construction of the training program. Should this research determine that these abilities
can indeed be increased through training, these results will then yield important
implications for both theory and practice.
The Training Program
Each branch of EI comprises a variety of skills that have the potential to yield
positive benefits for organisations. The program of training has been designed to satisfy
the requirements of each separate branch of Mayer and Salovey’s (1997) model. The
process of devising the training program commenced with identifying the specific skills
that would contribute to increased abilities. Once these skills were identified, a series of
exercises were then designed to assist the learning process. When designing the training
program, I was particularly aware of the time constraints surrounding the provision of
training. After consultation with the research organisation, it was decided that a two-day
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training program and a half-day follow up would be constructed for providing training
in emotions-focused skills. This structure met the needs of the organisation (because
they were concerned with the productivity and financial costs of having employees
absent from work) and the research project (sufficient time was required to provide
training and collect the necessary data). In line with the four branches of EI, half a day
was devoted to the training of skills associated with each branch. The training was
devised to flow logically from one branch to the next.
Table 2 presents a model for training based on the skills that have been outlined
within this chapter. A full description and rationale for the final training program is
presented in Appendix B. I initially brainstormed these ideas with my supervisors and
conducted research to determine which activities would be included in the training.
During the brainstorming process, a discussion of the linkage between emotions-focused
skills, EI abilities and work skills was undertaken. In terms of the awareness of
emotions branch, the initial ideas focused on emotional-perception training involving
self-awareness questionnaires (Sheldon, 1996), the perception of others questionnaires
(Riggio, 1986), the recognition of facial (including micro and subtle) expressions
(Ekman, 1999, 2003, 2003), verbal, action and body cues (Planalp, 1999), and exercises
in tuning an individual’s listening skills (Lynn, 2002).
The initial facilitation ideas included exercises in facilitating emotions to assist in
decision-making and problem-solving (George, 2000; Putnam & Mumby, 1993),
exploring the positives and negatives of emotional contagion (Barsade, 2002), activities
in perspective taking (Jordan. et al., 2002), building emotion through music (Bruner,
1990; Planalp, 1999), motivational speaking and storytelling (King & Down, 2001;
Morgan & Dennehy, 1997; Van Buskirk & McGrath, 1992). At this stage, an
organisational storytelling session was deemed to both impact upon the awareness of
emotions, the facilitation of emotions and understanding emotions. It was decided that
this exercise would be undertaken to provide a transition between the two parts of the
program.
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Table 2 Constructing the EI training program EI Ability Branches Initial Training Ideas Final Training Program
Awareness of Emotions (Self and Others)
Emotional Self-Awareness Questionnaires Perception of Others Questionnaires Micro & Subtle Facial Expression Training Awareness of Verbal Cues Training Body Language & Body Gestures Training Listening Habits Exercises
Building Awareness of Own and Others’ Emotions in the Workplace Using the JOHARI window to Build Awareness of Emotions (Self and Others) Reflective Diaries Organisational Stories
Facilitation of Emotions (Self and Others)
Using Music, and Stories to Build Emotion Recognizing the Emotions linked to Decision-making and Problem Solving Tasks Emotional Contagion – Role Plays Motivational Speeches – Exercises
Organisational Stories The Impacts of Emotional Contagion on Self and Others Generating Emotions Techniques Mind Mapping to Assist in Perspective Taking
Understanding Emotions (Self and Others)
Discussing Emotional Cycles Recognition of Emotional Triggers Recognition of Emotional Progressions Recognition of Emotional Transitions Emotional Reactions to Change
Understanding Plutchick’s Continuum of Emotions The Impacts of Positive and Negative Emotional Progressions Emotional Cycles in the Workplace Emotions and Workplace Change
Managing Emotions (Self and Others)
Reframing Emotions Exercises Emotional Control Exercises Coping with Emotions Exercises Increasing Resiliency
Emotional Repair Strategies Building Physical, Psychological and Social Resiliency Techniques for Managing Emotions in the Workplace
In addition to storytelling, understanding emotions-training ideas included the
continuum of emotions (Plutchik, 1980), emotional progressions and transitions
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(George, 2000; Mayer et al., 2001), emotional cycles (James, 2002; James & Nahl,
2000) and emotions and change (Danes, 2005; Kubler-Ross, 1973). Finally, the
management of emotions ideas included emotional control exercises (Riggio, 1986),
reframing emotions activities (Ekman & Friesen, 1978), building resilience (Carlopio,
Andrewatha, & Armstrong, 1997) and coping with emotions interventions (Lazarus &
Folkman, 1984).
The process of firstly brainstorming a range of potential training activities enabled
the formulation of a program of specific EI abilities that would encourage the transfer of
EI abilities in the workplace (Blanchard & Thacker, 2007). In addition to outlining the
initial training ideas, Table 2 lists the final training exercises that were used. Owing to
time constraints, it was not feasible to include all of the initial ideas into the final
training program. However, the initial identification of the potential training areas
enabled the final program to be structured to provide the maximum benefit for the
attendees. As mentioned at the beginning of this chapter, Appendix B is dedicated to
presenting the specific exercises that were presented as the final training program
activities. In addition, Appendix C includes a complete set of training PowerPoint slides
developed to assist in the facilitation of the intervention.
Chapter Summary
In summary, in this chapter, I have provided details of how emotional skills and EI
abilities could be trained in specific work contexts, such as conflict resolution, team
work and dealing with difficult people. First, a number of skills were related to each of
the four branches of EI and explained. Second, work contexts and their links to EI
abilities were discussed. This process provided a foundation from which the
construction of a work-related emotions-focused training program could be conducted.
Because the purpose of this thesis is to determine whether EI can be improved through
training, an outline was required of how the intervention was constructed. This outline
demonstrated how the initial identification of skills in specific work contexts could be
used to create a training program that met the needs of the research project and provided
a valuable intervention for use in the research organisation.
In the next chapter, the first of three studies conducted to test whether EI can be
increased through training is presented. In Chapter Four, the information regarding the
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measures and the sample of the participants is outlined. In addition, the analysis will be
presented on the data collected from a normative sample of participants from the
research organisation. The purpose of this analysis is to ensure that the measures that
can be used in the subsequent two studies examining the outcomes of training emotions
focused and IS in the research organisation are robust.
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CHAPTER FOUR
Study 1 – Analysis of the Normative Sample Factor Analysis using
Repeated Measures ANOVA
Overview
The aim of Chapter Four is to provide the results of various analyses undertaken
on a normative data sample collected as part of the overall research project. In keeping
with a quasi-experimental design, a sample of employees were recruited from the
research organisation to provide a baseline measure for EI in the department and to
assess if there were any contextual changes that could contribute to changes in EI. Over
an 18-month period, this sample (a representative sample of employees not involved in
the training) undertook a survey at three equally-spaced points in time. Participants
completed an identical survey to that completed by the participants receiving the
training interventions.
In this chapter, I examine the psychometric properties of the three scales contained
within the ‘Emotions in the Workplace’ survey. The construct validity of the measures
is also ascertained through examining the concurrent (same-time) and predictive
(across-time) validity of the measures. First, a series of factor analyses are conducted on
the three measures within the survey (namely, EI, citizenship performance and goal
setting). This enables the structure of the three scales to be established. Individual cases
are then matched and repeated measures ANOVAs are conducted to determine whether
any changes occurred in the sample over time. Changes in responses over the 18-month
period may indicate organisational effects (change) or instability of the measures.
Justification for the Selection of Additional Dependent Variables
Citizenship Performance
Citizenship performance and goal setting were chosen as additional dependent
variables for each of the studies in line with Jordan et al’s. (2002) previous research
findings on process effectiveness and goal focus of student project teams. In terms of
citizenship performance, the links between positive emotions and citizenship behaviours
in organisations have been empirically tested by a number authors such as, Isen (1993),
Isen, Clark and Schwartz (1976), and Staw, Sutton and Pelled (1994). However, the
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relationship between EI and citizenship performance requires further examination
(Carmeli & Josman, 2006). Jordan et al’s. (2002) study demonstrated that teams who
reported high EI and high process effectiveness scores at the beginning of the program
of research had no change in their process effectiveness at the end of the study. In
contrast, the low EI teams that reported a lower level of process effectiveness at the
beginning of the program steadily increased their process effectiveness as they received
course instruction. As these results demonstrate a relationship between an individual’s
EI and process effectiveness, this study will seek to explore whether similar
relationships exist between EI and citizenship performance. Specific hypotheses will
then be outlined and tested in Chapter Five.
In addition to Jordan et al’s. (2002) work, several other authors have outlined the
links between EI and positive behaviours in organisations. First, Cherniss (2001)
proposed that EI can contribute to improvements in commitment, morale and overall
health of individuals in organisations. In her work examining the application of EI in
workplace settings, Abraham (2005) also demonstrated that the organisational
citizenship of individuals in organisations can be improved through enhanced EI. Wong
and Law (2002) also found a relationship between EI and organisational commitment
for followers within organisations. In addition, Carmeli (2003) demonstrated that EI
positively linked to positive behaviours, such as affective commitment, altruistic
behaviours and job satisfaction. In their research, Schutte, Schuettpelz and Malouff
(2000) found EI to be positively related to solving problems for the successful
completion of tasks. Finally, in their research with 215 employees from a diverse set of
organisations in Israel, Carmeli and Josman (2006) found that EI was positively and
significantly linked to altruism and compliance (two dimensions of Podsakoff,
MacKenzie, Moorman and Fetter’s (1990) OCB scale).
Goal Setting
In terms of EI and goal setting, a variety of research has been conducted exploring
this relationship (see Bagozzi, Baumgartner, & Pieters, 1998; Cron, Slocum Jr, Van de
Walle, & Fu, 2005; Oatley, 1988; Oatley & Johnson-Laird, 1996; Frijda, Kuipers, & ter
Schure, 1989). In particular, Cron et al. (2005) found that negative performance
feedback leads to negative emotional reactions in individuals and that these negative
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emotions influence the future goals that are set by the individual. This raises the
question of whether high EI may ameliorate an individual’s tendency to set lower goals
as a result of negative feedback.
In their 2002 research, Jordan and his colleagues found that teams with low EI
were able to improve their goal focus over time, so that they were as effective in this
area as those teams that commenced the research with higher EI, while work teams with
high levels of EI demonstrated no change in goal focus over the same period. The
results of the Jordan et al. (2002) study suggest that there is a relationship between EI
and goal focus. Further exploration of these links will be conducted within this program
of research.
In their research examining EI, goal setting and emotional well-being, Spence et
al. (2004) also found that individuals with high EI were more effective in the setting of
congruent personal goals. Their results, however, did not reveal significant relationships
between EI, goal setting and emotional well-being. What is clear from the research that
has been conducted is that a greater understanding of the links between EI and goal
setting must be ascertained. An exploration of these links will be conducted within this
chapter. Specific hypotheses will then be outlined and tested in Chapter Five.
Method
Procedure
Participants for the current study were recruited with the assistance of the
organisation’s Human Resource Department. A complete listing of organisational units
was supplied containing the names and contact details of all organisational unit
managers. The researcher made direct contact with each of the managers via telephone
and email correspondence, informing them that their assistance in an organisation-wide
study would be appreciated. Managers were also informed of the availability of a
training and development program at the completion of the data collection. Sixteen
managers agreed that their organisational units (n=560) would participate in this study.
To simplify the data collection procedure, the participating managers nominated
collection officers who would receive all correspondence associated with the research
project. These officers were responsible for the distribution of surveys to staff within
their respective organisational units. Prior to each data collection, contact with the
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collection officers was initiated by email and distribution instructions were given. Packs
containing an information sheet (including participant consent), survey and a reply-paid
envelope for each participant were then mailed directly. Examples of these documents
are presented in Appendices F and G.
Pilot Study
Prior to data collection, the ‘Emotions in the Workplace’ survey format was tested
and refined through consultation with administrative level staff from the Organisational
Development unit and two focus groups of staff from the Strategic Directions unit from
the organisation (n=28). This group consisted of 12 male and 16 female members of
staff. Focus group participants were asked to complete the survey and provide feedback
on its clarity and relevance to the organisation. Minor amendments were made to survey
item wording (for example, ‘boss’ was changed to ‘supervisor’) based on this feedback.
A detailed list of the outcomes of the focus group sessions is presented in Appendix H.
Sample
Data were collected at three equally-spaced points in time. The first data
collection occurred in the July of the first year of research. Fifteen of the 16 teams
completed their surveys with 327 out of a possible 560 (a response rate of 58.39%)
returned by participants. Surveys with incomplete or missing data were excluded from
the analysis. Out of the surveys returned, 320 were useable. The mean age of Time 1
participants was 40.5 years (SD=11.42), with 67.8% male participants. Seventy-Seven
point two per cent of participants were full-time employees; of the remainder, contract
workers accounted for 5.7%, 5.7% were temporary full-time, 5.7% temporary part-time,
5.0% were permanent part-time and 0.6% employed on a casual basis. In terms of
employment classifications, 50.3% of the participants were employed in administrative
roles, 23.9% classed themselves as professionals, 13.1% were employed in technical
roles, 7.2% classified themselves as construction workers, 3% were senior managers,
and the final 2.5% placed themselves in operations roles.
The second data collection was conducted in the November. Again, 560 surveys
were dispatched to 16 teams. Time 2 surveys were completed by 263 employees (a
response rate of 46.96%) from 14 of the targeted teams. Two hundred and fifty-six
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surveys were useable. The mean age of Time 2 participants was 41.5 years (SD=11.08),
with 63.7% of the respondents being male. In terms of employment status, 80.9% were
full time, 5.9% were contract workers, 5.5% classed themselves as temporary full time,
3.9% were part time, 2.0% were casual and 1.2% classified themselves as temporary
part-time. The remainder did not state the nature of their employment contract. In terms
of employment classification levels, 53.4% were administrators, 19.3% were classified
as professionals, 13.4% technical staff, 6.7% classed themselves as being employed in
operations, 4.2% were construction workers and 2.9% reported that they were senior
managers.
The final data collection occurred in March of the following year. Fourteen teams
consisting of 227 participants (a response rate of 40.54%) returned their surveys. Two
hundred and twenty-five surveys were useable. Of this sample, 58.7% of the
respondents were male and the mean age was 39.5 years (SD=11.71). Full times
workers accounted for 82.6% of the sample, 6.7% were contractors, 5.8% classed
themselves as temporary full time, 2.2% were part time and casual and temporary part
time workers accounted for 1.3% of respondents respectively. Again, the majority of
workers (56.7%) were employed as administrators, 20.5% were professionals, 10.0%
classed themselves as technical workers, 6.2% were construction workers, 4.3%
occupied operational roles and 2.4% were senior managers within the organisation.
To assist with analysis participants who completed the survey were matched
across the three data collection periods. In total, 88 participants fully completed all
three surveys. The mean age of the matched sample participants was 41.36 years
(SD=11.14), with 57.3% male participants. Seventy-Seven point two per cent of
participants were full-time employees; of the remainder, contract workers accounted for
9.0% of the sample, 5.6% were temporary full-time, and 7.9% were employed on a
permanent part-time basis.
Measures
The ‘Emotions in the Workplace’ survey contains 86 items. The first five
questions gather basic demographic data (as outlined in the sample description)
including gender, age, employment status, job role classification and organisational
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training programs attended. The remainder of the survey consists of scales to measure
citizenship performance, EI and goal setting.
Citizenship Performance
Citizenship Performance was measured using the 15-item Citizenship Rating
Scale devised by Motowidlo and Van Scotter (1994), and Van Scotter and Motowidlo
(1996). This scale uses a 5-point Likert type response format ranging from 1 (not at all
accurate) to 5 (very accurate). The measure consists of two subscales that assess
‘Interpersonal Facilitation’ (subscale 1) and ‘Job Dedication’ (subscale 2). Subscale 1
contains seven items including ‘I praise co-workers when they are successful’. Subscale
2 consists of eight items with items including: ‘I ask for challenging work assignments’.
In previous studies, the alpha reliability coefficients were 0.89 for interpersonal
facilitation and 0.94 for job dedication (Motowidlo & Van Scotter, 1994; Van Scotter &
Motowidlo, 1996).
Emotional Intelligence
Emotional Intelligence was measured using the 36-item self-report section of the
Workgroup Emotional Intelligence Profile – Version 6 (WEIP-6: Jordan et al., 2002).
The WEIP-6 captures the dimensions of EI within the two scales that conform to Mayer
and Salovey’s (1997) description of EI (Jordan et al., 2002: see Figure 1). In terms of
convergent validity, the WEIP-6 has been shown to correlate with the Revised Self-
Monitoring Scale (Lennox & Wolfe, 1984), the TMMS (Salovey et al., 1995), the
Interpersonal Reactivity Index (IRI: Davis, 1983), the Job Associate-Bisociate Review
Index (JABRI: Jabri, 1991), and the Emotional Control Scale of Riggio’s (1986) Social
Skills Index. In terms of discriminant validity, the WEIP-6 is distinct from the 16PF, the
Revised Self-Monitoring Scale and the Personal Style Inventory (Jordan et al., 2002).
The WEIP-6 was chosen because of the organisational context of this research.
Although there are a wide variety of EI measures available (see Chapter Two for a
review) the WEIP-6 was developed specifically to provide an EI profile of individuals
with regard to workplace relationships (Jordan et al., 2002). Although there have been
questions regarding an individual’s ability to respond accurately and honestly to EI self-
report measures (see Brackett et al., 2006; Freudenthaler, Neubauer & Haller, 2008;
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Mayer et al., 2004), Wong et al. (2008) support the use of self-report measures to assess
EI, particularly when they have been properly designed. Research evidence
demonstrates that the WEIP-6 is a valid EI self-report measure (Moriarty & Buckley,
2003) that has been shown to predict leadership emergence (Kellett et al., 2002, 2006).
It was for these reasons that the WEIP-6 was deemed the most appropriate measure for
use within this program of research.
Figure 1 Relationship – WEIP-6 to Mayer and Salovey’s Four-branch Model of EI
Source: Jordan et al., 2002
The WEIP-6 employs a 7-point Likert type response format that ranges from 1
(strongly disagree) to 7 (strongly agree) for each item. The items contained within the
measure encourage individuals to reflect on their own and others’ behaviours within a
work team environment. Scale 1 is entitled ‘Ability to Deal with Own Emotions’ and
contains nineteen items. ‘Ability to Deal with Others’ Emotions’ (scale 2) consists of
seventeen items. Existing alpha reliability coefficients for both scales are 0.79 and 0.79
respectively (Jordan et al., 2002). Both scales are further delineated into three subscales.
Table 3 presents each subscale, including its number of items, sample items and
Four Branch Model of EI
Mayer & Salovey (1997)
WEIP-6 Sub-Scales
Jordan et al (2002)
WEIP-6 Scales WEIP-6
Awareness of Emotions
Facilitation of Emotions
Understanding Emotions
Management of Emotions
Awareness of Own Emotions
Ability to Discuss Own Emotions
Ability to Facilitate Own Emotions
Ability to Recognise Others’ Emotions
Ability to Detect False Displays of Emotion
Ability to Manage Others’ Emotions
Ability to Deal with
Own Emotions
Ability to Deal with Others’
Emotions
Workgroup Emotional
Intelligence Profile
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Cronbach’s Alpha (reported from previous studies using the measure: Moriarty &
Buckley, 2003).
Table 3 Workgroup EI Profile Subscales (Jordan et al., 2002)
Subscale Items Alpha Sample Item
Awareness of Own
Emotions
5 0.75 When working in my team, I can identify the
emotions I experience
Ability to Discuss Own
Emotions
5 0.85 If I feel down, I can tell team members what will
make me feel better
Application of Own
Emotions to Facilitate
Thinking
9 0.62 If I make a mistake in front of my team
members, I get over my embarrassment very
quickly
Ability to Recognise
Others’ Emotions
4 0.77 When I talk to a team member I can gauge their
true feelings from their body language
Ability to Detect False
Displays of Emotion
5 0.62 I can read my fellow team members ‘true’
feelings, even if they try to hide them
Ability to Manage
Others’ Emotions
8 0.70 I am able to identify for team members the
positive side of negative events
Alpha reliabilities range from 0.62–0.85 (Moriarty & Buckley, 2003)
Goal Setting
Goal setting was measured using selected items derived from Locke and Latham’s
(1984, 1990) goal setting measure. The scale follows a 5-point response format ranging
from 1 (almost never) to 5 (almost always). The original measure consists of ten
subscales containing 45 items. However, for this study, six subscales (26 items) were
chosen because of their relevance to the research project and their hypothesised
relationship to EI. The six subscales, number of items, sample items and Cronbach’s
Alphas (from existing studies, Lee et al., 1991; Locke & Latham, 1984) are presented in
Table 4.
The unused subscales were ‘Use of Goal Setting in Performance Appraisal’,
‘Tangible Rewards’, ‘Organisational Facilitation of Goal Achievement’ and
‘Dysfunctional Aspects of Goals’. The first two subscales relate to the setting of goals
during the performance review process and the outcomes of achieving these set goals
(for example, pay rise, promotion and job security). These subscales were not used
because this research is focused on individual difference variables rather than
organisational variables.
75.
Table 4 Goal Setting Subscales (Locke & Latham, 1984)
Subscale Items Alpha Sample Item Supervisor Support and Participation
3 0.82 My Supervisor lets me participate in the setting of my goals
Goal Stress 3 0.68 I find working towards my goals to be very stressful
Goal Efficacy 4 0.68 I feel that my job training was good enough so that I am capable of reaching my job goals
Goal Rationale 4 0.78 I get regular feedback indicating how I am performing in relation to my goals
Goal Clarity 4 0.85 If I have more than one goal to accomplish, I know which ones are most important and which ones are least important
Goal Conflict 8 0.67 My job goals serve to limit rather than raise my performance
Alpha reliabilities range from 0.68–0.85 (Lee, Bobko, Early, & Locke 1991)
‘Organisational Facilitation of Goal Achievement’ was omitted because it
contained items that were similar in theme to those in the 15-item ‘Citizenship Rating
Scale’. Finally, ‘Dysfunctional Aspects of Goals’ was not used because it focuses upon
non-supportive supervisor behaviours. As positive and negative responses to supervisor
behaviours could be identified though the ‘Supervisor Support’ subscale, these items
were excluded.
Data Screening & Cleaning
Prior to conducting factor analysis on the three data sets, all data were examined
using SPSS for Windows, version 15.0, to determine the accuracy of the data entry,
missing values, the fit between the distributions and the assumptions of multivariate
analysis (Tabachnick & Fidell, 1996). In addition, data were checked for outlying cases
and the relevant items were transformed.
Checking for errors involved a process of visually inspecting the data for
observable errors and physically checking the entered surveys for errors in data entry
(10% data check). This was then followed by the use of SPSS ‘descriptive statistics’
function to identify any values in the data that fell outside the range of values for each
variable within the data set (Pallant, 2005). Errors that were detected were then cross-
checked against the original survey and corrected. As a final check to ensure data were
error-free, the ‘descriptive statistics’ function in SPSS was again used ensure all errors
had been corrected.
76.
Checking for missing data was the second screening process conducted prior to
the analysis. According to Manning and Munro (2006), there are two approaches that
can be followed for dealing with missing data, the use of complete data sets with
substitute means or the deletion of cases with excessive missing data (Hair, Anderson,
Tatham, & Black, 1998:51–52). Seven cases at Time 1, seven cases at Time 2 and two
cases at Time 3 were removed owing to excessive missing data. Single missing values
in the remainder of the data were replaced by the mean of all cases using the EM
computation method in SPSS (Hair et al., 1998).
Checking data fit was undertaken to ensure the fit between the distributions
within the data were acceptable. Data collected at Time 1, Time 2 and Time 3 were
assessed and distributions were appropriate for factor analysis.
Factor Analysis
Citizenship Data – Times 1, 2 and 3
The 15 items from the Citizenship Rating Scale (Times 1, 2 and 3 data collections,
Motowidlo & Van Scotter, 1994) were subjected to principal axis factoring (PAF) using
SPSS version 15.0. Principal axis factoring was used because it is the most widely-used
factor analysis technique (Child, 2006) and is considered the best method for exploring
underlying factors. Prior to conducing PAF, the suitability of the data for factor analysis
was assessed in five steps. The first step was to determine whether the sample size was
valid for factor analysis to be conducted. According to Hair et al. (1998) and Kline
(1994), a minimum of 50, and ideally 100 or more, cases are required. In addition, there
should be at least five cases and preferably ten per variable to be analysed (Hair et al.,
1998; Pett, Lackey & Sullivan, 2003). Based on these criteria, the sample size for
analysis was valid for Times 1, 2 and 3.
The second assumption to be tested was the correlations between the items. The
items were visually inspected to reveal a substantial amount of correlations between
0.30 and 0.60 (Hair et al., 1998; Tabachnick & Fidell, 1996). Next, anti-image
correlations were conducted to assess whether there were large partial correlations or
anti-image correlations in the data (Pett et al., 2003). Again, the results demonstrated
that factor analysis was appropriate (Hair et al., 1998). The fourth test conducted on the
data was the Kaiser-Meyer-Olkin Measure of Sampling Adequacy. The KMO value was
77.
0.88 at Time 1, which, according to Hair et al. (1998:99), is a ‘meritorious’ result.
Finally, Bartlett’s Test of Sphericity was conducted to determine the statistical
probability that the variables in the correlation matrix have significant correlations (Pett
et al., 2003). This test reached statistical significance (105 df, p<0.001), supporting this
assumption (Pallant, 2005).
Principal axis factoring without rotation revealed three factors with Eigenvalues
exceeding one. These components explained 35.25, 11.22 and 6.81% of the variance
respectively. An inspection of the scree plot (see Figure 2) demonstrated a clear move
towards a horizontal line after the second factor (Hair et al., 1998). Using Cattell’s scree
test (1966) assumption, it was decided to retain two components for investigation. This
decision was further supported by the results of a Montecarlo Parallel Analysis
(Watkins, 2000 that demonstrated two factors with Eigenvalues greater than the
corresponding criterion values for a randomly generated same size data matrix (15
variables x 320 respondents).
Figure 2 Citizenship Scale Time 1 Scree Plot
151413121110987654321
Factor Number
6
5
4
3
2
1
0
Eig
en
va
lue
Scree Plot
A Varimax rotation was then performed to assist in the interpretation of the two
factors derived. The Varimax rotation was selected as the most appropriate method for
extracting factors because it clearly simplifies the factor matrix (Hair et al., 1998). The
rotated solution yielded a simplified factor structure, with a number of the variables
showing substantial loadings on their respective factors (Comrey & Lee, 1992). There
78.
were, however, two variables with poor loadings. To assist with the interpretation of the
two factors, the variables with poor loadings were removed and factor analysis was
conducted again on the 13 remaining variables (Tabachnick & Fidell, 1996).
The second Varimax rotation confirmed a simplified two-factor solution, with all
variables loading substantially onto only one component. These variables also showed
loadings that conform to Comrey and Lee’s (1992) acceptable loading cut off. Final
interpretation of the two factors was consistent with the previous factor structures
reported for the Citizenship Rating Scale. Factors 1 and 2 conformed to the existing
factor labels of ‘Interpersonal Facilitation’ and ‘Job Dedication’ (as shown in Table 5,
Motowidlo & Van Scotter, 1994).
Subsequent analyses were conducted using identical methods to those presented
above in the Times 2 and 3 data. Because the results obtained from each separate
analysis were similar to those presented above for Time 1, full details are not given.
However, Table 5 details the loadings of each of the two factors for the Times 2 and 3
data.
79.
Table 5 Time 1, 2 & 3 Exploration of the Citizenship Rating Scale using Principal Axis Factoring and Varimax Rotation
Item Time 1 Time 2 Time 3
Interpersonal
Facilitation
Job
Dedication
Interpersonal
Facilitation
Job
Dedication
Interpersonal
Facilitation
Job
Dedication
15. I tackle difficult work items enthusiastically 0.672 0.264 0.704 0.210 0.661 0.279
14. I persist in overcoming obstacles to complete a task 0.659 0.285 0.772 0.188 0.675 0.193
13. I take the initiative to solve a work problem 0.631 0.323 0.741 0.178 0.702 0.215
9. I pay close attention to important details 0.581 0.098 0.437 0.283 0.412 0.099
11. I ask for challenging work assignments 0.529 0.282 0.484 0.298 0.584 0.254
10. I work harder than necessary 0.529 0.069 0.398 0.363 0.484 0.230
8. I put in extra hours to get work done on time 0.528 0.078 0.437 0.283 0.351 0.213
12. I exercise personal discipline and self-control 0.501 0.228 0.572 0.191 0.477 0.252
1. I praise co-workers when they are successful 0.189 0.707 0.380 0.565 0.337 0.626
4. I say things to make people feel good about
themselves or the workgroup
0.163 0.674 0.132 0.716 0.297 0.635
5. I encourage others to overcome their difficulties and
get along
0.208 0.655 0.214 0.646 0.201 0.622
2. I support or encourage co-workers with a personal
problem
0.120 0.640 0.175 0.694 0.166 0.652
3. I talk to other workers before taking actions that
might affect them
0.277 0.503 0.315 0.412 0.206 0.540
Time 1, n=320 Time 2, n=256 Time 3, n=225
80.
Reliabilities and Correlations – Citizenship Performance
Tables 6, 7 and 8 present means, standard deviations, reliability coefficients and
inter-item correlations for the 13-item Citizenship Rating Scale at the Times 1, 2 and 3
data collections. Reliability coefficients are within an acceptable range and the inter-
item correlations support the theoretical model advanced by Motowidlo and Van Scotter
(1994).
Table 6 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales (Time 1)
Mean (S.D.) 1 2 3
1. Citizenship Performance (Total) 3.92 (0.18) (0.85)
2. Interpersonal Facilitation 3.84 (0.62) 0.81** (0.80)
3. Job Dedication 3.97 (0.52) 0.90** 0.47** (0.82)
* = p<0.05; ** = p<0.01, n = 320, Cronbach’s Alpha Reliabilities on the diagonal
Table 7 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales (Time 2)
Mean (S.D.) 1 2 3
1. Citizenship Performance (Total) 3.92 (0.47) (0.87)
2. Interpersonal Facilitation 3.89 (0.56) 0.84** (0.79)
3. Job Dedication 3.94 (0.51) 0.93** 0.59** (0.83)
* = p<0.05; ** = p<0.01, n = 256, Cronbach’s Alpha Reliabilities on the diagonal
Table 8 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales (Time 3)
Mean (S.D.) 1 2 3
1. Citizenship Performance (Total) 3.91 (0.43) (0.85)
2. Interpersonal Facilitation 3.87 (0.52) 0.83** (0.79)
3. Job Dedication 3.94 (0.47) 0.92** 0.54** (0.80)
* = p<0.05; ** = p<0.01, n = 225, Cronbach’s Alpha Reliabilities on the diagonal
Emotional Intelligence Data – Times 1, 2 and 3
The 36 items from the Workgroup Emotional Intelligence profile were also
subjected to PAF. Prior to conducting the PAF, the suitability of the data for factor
81.
analysis was assessed in accordance with the methods previously outlined. A correlation
matrix revealed a substantial amount of correlations between 0.30 and 0.60 (Hair et al.,
1998; Tabachnick & Fidell, 1996). Anti-image correlations demonstrated that factor
analysis was appropriate (Hair et al., 1998). The KMO value was 0.89 and Bartlett’s
Test of Sphericity reached statistical significance (630 df, p<0.001).
Principal axis factoring revealed eight factors with Eigenvalues exceeding one.
These components explained 27.67, 7.44, 7.05, 5.73, 5.47, 3.70, 3.25, 2.96, and 2.50%
of the variance, respectively. This result did not conform to Jordan et al’s. (2002) six-
factor solution. Furthermore, many items cross-loaded onto two or more factors.
Because researchers using the WEIP (see Moriarty & Buckley, 2003) have outlined
some reliability issues with scale authors planning to further explore the validity of the
measure, additional exploration of the scale was deemed necessary.
An inspection of the scree plot (see Figure 3) demonstrated a clear move towards a
horizontal line after the fifth factor (Hair et al., 1998). Using Catell’s scree test (1966)
assumption, five components were retained for further investigation. The results of the
Montecarlo Parallel Analysis (Watkins, 2000) further supported this assumption (36
variables x 320 respondents).
Figure 3 WEIP-6 Scale Time 1 Scree Plot
242322212019181716151413121110987654321
Factor Number
8
6
4
2
0
Eig
en
va
lue
Scree Plot
A Varimax rotation yielded a more parsimonious factor structure with a number of
the variables showing excellent, very good or good loadings on their respective factors
82.
(Comrey & Lee, 1992). An interpretation of the five factors was then conducted in
accordance with a-priori knowledge of the WEIP-6 subscales. Unfortunately, there were
twelve items that did not conform. To assist with the interpretation of the five factors,
twelve items were removed. The factor analysis was then conducted again on the 24
remaining variables (Tabachnick & Fidell, 1996).
The third Varimax rotation was then conducted on the 24 remaining variables
from the WEIP-6. This analysis confirmed the simplified five factor solution, with all
variables loading substantially onto only one component. Factor 1 was labelled
‘Awareness of Other’s Emotions’; Factor 2 was named ‘Ability to Discuss Own
Emotions’; Factor 3 was entitled ‘Ability to Manage Own Emotions’; Factor 4 was
labelled ‘Ability to Manage Others’ Emotions’; and Factor 5 was named ‘Awareness of
Own Emotions’. Table 9 details the loadings of each of the two factors.
As with the results presented for the analysis of the Citizenship Rating Scale,
factor analysis was conducted on Times 2 and 3 data. Again, the results obtained from
each separate analysis were similar to those presented above for the Time 1 data and,
therefore, have not been presented in detail. Table 10 presents the loadings of each of
the five factors at Time 2, with Table 11 presenting the Time 3 factor loadings.
83.
Table 9 Time 1 (n=320) Exploration of the WEIP-6 Scale using Principal Axis Factoring and Varimax rotation
Item Awareness of others’
emotions
Ability to manage own
emotions
Ability to discuss own
emotions
Ability to manage others’
emotions
Awareness of own
emotions
16. When I talk to a team member, I can gauge their true feelings from their body language 0.745 0.083 0.080 0.119 0.018
7. I can read my fellow team members’ ‘true’ feelings, even if they try to hide them 0.660 0.210 0.220 0.107 0.064
10. I am able to describe accurately the way others in the team are feeling 0.650 0.329 0.273 0.199 -0.014
22. I can tell when team members only pretend to be happy 0.632 0.089 -0.077 0.158 0.048
18. I can tell when team members do not mean what they say 0.600 0.134 0.025 0.231 -0.005
30. I am aware of how others in the team are feeling 0.554 0.306 0.169 0.156 0.235
19. I take notice of the mood my fellow team members are in 0.511 0.087 0.233 0.098 0.327
27. I can talk to other members of the team about the emotions I experience 0.126 0.772 0.077 0.223 0.101
8. I can discuss the emotions I feel with other team members 0.241 0.745 0.194 0.116 0.055
17. If I feel down, I can tell team members what will make me feel better 0.253 0.700 0.064 0.243 -0.010
6. I can explain the emotions I feel to team members 0.223 0.633 0.225 0.153 0.191
3. I respect the opinion of other team members, even if I think they are wrong 0.044 0.100 0.671 0.084 0.086
9. When I am frustrated with fellow team members, I can overcome my frustration 0.155 0.220 0.640 0.220 0.083
36. I give a fair hearing to my fellow team members’ ideas 0.179 -0.001 0.610 0.143 0.310
2. When I am angry with a member of my team, I can overcome my anger quickly 0.022 0.228 0.541 0.207 -0.135
12. When deciding on a dispute, I try to see all sides of a disagreement before I come to a conclusion
0.281 -0.063 0.504 0.100 0.137
32. I do not judge team members if they are experiencing problems -0.002 0.122 0.394 0.009 0.133
33. I can provide the ‘spark’ to get team members enthusiastic 0.171 0.195 0.204 0.716 0.057
21. I am able to influence other team members’ attitudes and actions 0.321 0.102 0.013 0.673 0.048
29. I can get fellow team members to share my keenness for a project 0.173 0.262 0.229 0.630 0.048
14. My enthusiasm can be contagious for members of my team. 0.190 0.172 0.233 0.549 -0.001
13. I am not sure what emotions I experience when working with my team. 0.111 0.087 0.092 0.046 0.713
28. I’m not usually aware of my feelings when working in my team. 0.055 0.218 -0.008 -0.034 0.707
20. When talking to team members, I find it difficult to see the other side of an argument. 0.031 -0.128 0.315 0.076 0.460
84.
Table 10 Time 2 (n=256) Exploration of the WEIP-6 Scale using Principal Axis Factoring and Varimax Rotation
Item Awareness of Others’
Emotions
Ability to Manage Own
Emotions
Ability to Discuss
Own Emotions
Ability to Manage Others’
Emotions
Awareness of Own
Emotions
7. I can read my fellow team members’ ‘true’ feelings, even if they try to hide them 0.827 0.072 0.209 0.150 0.102
16. When I talk to a team member, I can gauge their true feelings from their body language 0.725 0.139 0.143 0.119 0.123
22. I can tell when team members only pretend to be happy 0.680 0.118 0.003 0.238 0.101
10. I am able to describe accurately the way others in the team are feeling. 0.666 0.194 0.385 0.193 0.074
18. I can tell when team members do not mean what they say 0.611 0.043 0.197 0.121 0.121
19. I take notice of the mood my fellow team members are in 0.533 0.228 0.087 0.219 0.275
30. I am aware of how others in the team are feeling 0.518 0.167 0.376 0.310 0.207
3. I respect the opinion of other team members, even if I think they are wrong 0.044 0.785 0.091 0.080 0.101
9. When I am frustrated with fellow team members, I can overcome my frustration 0.299 0.655 0.165 0.149 0.035
2. When I am angry with a member of my team, I can overcome my anger quickly 0.125 0.644 0.161 0.046 0.021
36. I give a fair hearing to my fellow team members’ ideas 0.078 0.605 0.125 0.281 0.307
32. I do not judge team members if they are experiencing problems 0.037 0.455 0.222 0.192 0.089
12. When deciding on a dispute, I try to see all sides of a disagreement before I come to a conclusion
0.300 0.451 -0.177 0.240 0.347
8. I can discuss the emotions I feel with other team members 0.173 0.223 0.803 0.208 0.125
17. If I feel down, I can tell team members what will make me feel better 0.175 0.062 0.682 0.194 -0.006
6. I can explain the emotions I feel to team members 0.185 0.278 0.634 0.120 0.124
27. I can talk to other members of the team about the emotions I experience 0.258 0.112 0.614 0.275 0.129
33. I can provide the ‘spark’ to get team members enthusiastic 0.234 0.208 0.218 0.632 0.137
29. I can get fellow team members to share my keenness for a project 0.322 0.174 0.301 0.614 -0.030
21. I am able to influence other team members’ attitudes and actions 0.204 0.095 0.176 0.534 0.205
14. My enthusiasm can be contagious for members of my team 0.210 0.248 0.188 0.530 0.029
20. When talking to team members, I find it difficult to see the other side of an argument 0.150 0.324 -0.160 0.100 0.605
28. I am not usually aware of my feelings when working in my team 0.111 0.054 0.307 0.036 0.592
13. I am not sure what emotions I experience when working with my team 0.181 0.054 0.135 0.089 0.581
85.
Table 11 Time 3 (n=225) Exploration of the WEIP-6 Scale using Principal Axis Factoring and Varimax Rotation
Item Awareness of others’ emotions
Ability to manage own
emotions
Ability to discuss own
emotions
Ability to manage others’
emotions
Awareness of own
emotions
22. I can tell when team members only pretend to be happy 0.780 0.122 0.111 0.149 0.054
18. I can tell when team members do not mean what they say 0.675 0.090 0.082 0.242 -0.113
16. When I talk to a team member, I can gauge their true feelings from their body language 0.663 0.076 0.004 0.141 0.139
30. I am aware of how others in the team are feeling 0.619 0.157 0.145 0.256 0.203
7. I can read my fellow team members’ ‘true’ feelings, even if they try to hide them 0.612 0.271 0.178 0.080 0.192
19. I take notice of the mood my fellow team members are in 0.574 0.211 0.206 0.045 0.168
10. I am able to describe accurately the way others in the team are feeling 0.501 0.306 0.324 0.249 0.093
8. I can discuss the emotions I feel with other team members 0.213 0.853 0.222 0.097 0.117
27. I can talk to other members of the team about the emotions I experience 0.177 0.721 0.128 0.261 0.076
6. I can explain the emotions I feel to team members 0.218 0.670 0.263 0.166 0.137
17. If I feel down, I can tell team members what will make me feel better 0.239 0.579 0.103 0.347 -0.043
3. I respect the opinion of other team members, even if I think they are wrong 0.107 0.243 0.698 0.039 0.075
36. I give a fair hearing to my fellow team members’ ideas 0.161 -0.009 0.647 0.237 0.306
2. When I am angry with a member of my team, I can overcome my anger quickly 0.003 0.215 0.608 0.090 -0.016
9. When I am frustrated with fellow team members, I can overcome my frustration 0.105 0.265 0.564 0.271 0.076
12. When deciding on a dispute, I try to see all sides of a disagreement before I come to a conclusion
0.214 -0.010 0.466 0.311 0.216
32. I do not judge team members if they are experiencing problems 0.230 0.070 0.434 0.144 0.073
29. I can get fellow team members to share my keenness for a project 0.170 0.233 0.218 0.737 0.116
21. I am able to influence other team members’ attitudes and actions 0.254 0.229 0.228 0.622 0.098
33. I can provide the ‘spark’ to get team members enthusiastic 0.229 0.160 0.252 0.589 -0.014
14. My enthusiasm can be contagious for members of my team 0.273 0.283 0.109 0.423 0.110
28. I am not usually aware of my feelings when working in my team 0.102 0.200 0.046 0.108 0.630
13. I am not sure what emotions I experience when working with my team 0.117 0.052 0.052 0.009 0.582
20. When talking to team members, I find it difficult to see the other side of an argument. 0.075 -0.060 0.311 0.058 0.505
86.
Reliabilities and Correlations – Emotional Intelligence
The means, standard deviations, Cronbach’s Alpha reliability coefficients and
inter-item correlations for the 24 item EI Scale at Times 1, 2 and 3 are presented in
Tables 12, 13 and 14, respectively. Reliability coefficients and inter-item correlations
are within acceptable range (Cohen, 1988) except for the subscale ‘Awareness of Own
Emotions’ which was a little low. These results are however in keeping with previous
research that has reported reliability coefficients for this sub-scale between 0.58 and
0.75 (see Jordan et al, 2002; Moriarty & Buckley, 2003).
Table 12 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales (Time 1 – 24 items)
Mean (S.D.) 1 2 3 4 5 6
1. Emotional Intelligence (Total)
4.69 (0.67) (0.89)
2. Awareness of Own Emotions
5.08 (1.06) 0.45** (0.68)
3. Ability to Discuss Own Emotions
3.94 (1.17) 0.75** 0.21** (0.86)
4. Ability to Manage Own Emotions
5.19 (0.78) 0.69** 0.24** 0.37** (0.76)
5. Awareness of Others’ Emotions
4.60 (0.89) 0.81** 0.23** 0.50** 0.37** (0.86)
6. Ability to Manage Others’ Emotions
4.52 (0.98) 0.72** 0.14** 0.48** 0.41** 0.49** (0.81)
* = p<0.05; ** = p<0.01, n = 320, Cronbach’s Alpha Reliabilities on the diagonal
Table 13 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales (Time 2 – 24 items)
Mean (S.D.) 1 2 3 4 5 6 1. Emotional
Intelligence (Total)
4.75 (0.71) (0.92)
2. Awareness of Own Emotions
4.91 (1.01) 0.57** (0.67)
3. Ability to Discuss Own Emotions
4.22 (1.16) 0.75** 0.29** (0.85)
4. Ability to Manage Own Emotions
5.16 (0.78) 0.73** 0.38** 0.40** (0.82)
5. Awareness of Others’ Emotions
4.66 (0.94) 0.85** 0.38** 0.53** 0.45** (0.89)
6. Ability to Manage Others’ Emotions
4.71 (0.88) 0.76** 0.31** 0.53** 0.48** 0.57** (0.79)
* = p<0.05; ** = p<0.01, n = 256, Cronbach’s Alpha Reliabilities on the diagonal
87.
Table 14 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales (Time 3 – 24 items)
Mean (S.D.) 1 2 3 4 5 6 1. Emotional
Intelligence (Total)
4.76 (0.70) (0.91)
2. Awareness of Own Emotions
5.04 (1.01) 0.50** (0.62)
3. Ability to Discuss Own Emotions
4.12 (1.17) 0.77** 0.23** (0.87)
4. Ability to Manage Own Emotions
5.22 (0.77) 0.75** 0.33** 0.46** (0.80)
5. Awareness of Others’ Emotions
4.68 (0.91) 0.82** 0.29** 0.52** 0.45** (0.87)
6. Ability to Manage Others’ Emotions
4.65 (0.93) 0.77** 0.24** 0.56** 0.51** 0.54** (0.80)
* = p<0.05; ** = p<0.01, n = 225, Cronbach’s Alpha Reliabilities on the diagonal
Goal Setting Data – Time 1, 2 and 3
Twenty-six items from Locke and Latham’s (1984, 1990) original 45-item goal
setting scale were analysed though principal axis factoring (PAF) using SPSS version
15.0. Prior to analysis, 11 of the negatively worded items were reversed. Items were
then visually inspected and revealed a substantial amount of correlations between 0.30
and 0.60 (Hair et al., 1998; Tabachnick & Fidell, 1996). Anti-image correlations
demonstrated that factor analysis was appropriate for the data (Hair et al., 1998). The
Kaiser-Meyer-Olkin Measure of Sampling Adequacy value was 0.91 and Bartlett’s Test
of Sphericity reached statistical significance at (325 df, p<0.001).
Principal axis factoring revealed five factors with Eigenvalues exceeding one.
These components explained 31.77, 10.54, 5.23, 4.54 and 4.05 per cent of the variance
respectively. Because the results of the factor analysis did not confirm to the
independently observed six-factor solution (Lee et al., 1991; Locke & Latham, 1984), a
closer examination of the data was undertaken. A visual inspection of the factor matrix
demonstrated that 18 items cross-loaded onto two or more factors (an additional analysis
constraining the data to a six-factor solution provided similar results). Based on these
results, it was determined that a five-factor solution could not be justified.
To determine a simple factor structure more closely, an inspection of the scree plot
was undertaken (see Figure 4). As can be seen, a clear move towards a horizontal line
occurs after the second factor (Hair et al., 1998). Using Catell’s scree test (1966)
assumption, it was therefore decided to retain two components for further investigation.
88.
The results of a Montecarlo Parallel Analysis (Watkins, 2000) supported a two-factor
solution. The test demonstrated two Eigenvalues greater than the corresponding
criterion values for a randomly–generated, same-size data matrix (26 variables x 320
respondents).
Figure 4 Goal Setting Time 1 Scree Plot
2625242322212019181716151413121110987654321
Factor Number
10
8
6
4
2
0
Eig
en
va
lue
Scree Plot
Based on these outcomes, a two-item extraction using the Varimax rotation was
conducted, yielding a simplified factor structure (Comrey & Lee, 1992). There were,
however, two variables with poor loadings. To assist with the interpretation, two factors
were removed and the factor analysis was run again on the 24 remaining variables
(Tabachnick & Fidell, 1996). The second Varimax rotation confirmed the simplified
two-factor solution, with all variables loading substantially onto only one component.
The final interpretation demonstrated a clear delineation between the two factors.
Items that fell into the first factor represent the positive processes that assist in goal
attainment. According to Bandura (1989) goal setting is a cognitive activity influenced
by a person’s belief in their own capabilities. If a person believes that they are capable
of achieving a goal, they are more likely to be committed to reaching a positive outcome
and will, in many cases, set themselves a more challenging goal. The fifteen items
within Factor 1 represent positive self-appraisal, self-efficacy and commitment to goal
setting. Therefore, Factor 1 was labelled as ‘Positive Goal Process’.
89.
Factor 2 represents the factors that may inhibit motivation towards effective goal
attainment. Existing research shows that individuals who do not believe they have the
capabilities to reach set goals reduce their effort and consequently achieve a lower level
of goal achievement (Bandura, 1989). The nine items contained within the second factor
highlight the negative cyclical nature of this relationship and was therefore labelled
‘Negative Goal Process’.
To ensure the consistency of the scale, Times 2 and 3 data were subjected to PAF,
using the same methods as presented above. The results were similar to those outlined
above and, as a result, are not presented in detail. Nevertheless, Table 15 does present
the final loadings of the two factors for Times 1, 2 and 3 data collections.
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Table 15 Time 1, 2 & 3 Exploration of the Goal Setting Scale using Principal Axis Factoring and Varimax Rotation
Item Time 1 Time 2 Time 3
+ Goal Process
- Goal Process
+ Goal Process
- Goal Process
+ Goal Process
- Goal Process
10. My supervisor clearly explains to me what my goals are 0.767 0.074 0.770 0.055 0.799 0.040
1. My supervisor is supportive with respect to encouraging me to reach my goals 0.747 0.216 0.592 0.163 0.702 0.083
14. My supervisor lets me have some say in deciding how I will go about implementing my goals 0.716 0.199 0.699 0.184 0.669 0.073
16. My supervisor tells me the reasons for giving me the goals I have 0.705 0.040 0.761 0.028 0.741 0.070
12. I have specific, clear goals to aim for on my job 0.689 0.190 0.778 0.189 0.718 0.108
22. I get regular feedback indicating how I am performing in relation to my goals 0.666 0.021 0.630 -0.029 0.607 0.164
7. My supervisor lets me participate in the setting of my goals 0.664 0.163 0.700 0.126 0.726 0.047
15. I usually feel I have a suitable or effective action plan or plans for reaching my goals 0.661 0.194 0.637 0.289 0.637 0.223
4. I understand how my performance is measured on this job 0.625 0.018 0.653 0.050 0.658 0.218
24. The other people I work with encourage me to attain my goals 0.575 0.044 0.611 0.032 0.604 0.127
20. I feel that my job training was good enough so that I am capable of reaching my job goals 0.489 0.279 0.579 0.197 0.504 0.188
9. I feel proud when I get feedback indicating that I have reached my goals 0.488 0.081 0.525 0.155 0.435 0.299
19. If I have more than one goal to accomplish, I know which ones are most important and which are least important
0.471 0.284 0.595 0.285 0.499 0.178
6. I understand exactly what I am supposed to do on my job 0.439 0.306 0.541 0.230 0.522 0.177
26. Trying for goals makes my job more fun than it would be without goals 0.438 0.188 0.508 0.257 0.527 0.238
8. My goals are much too difficult (R) -0.014 0.672 0.066 0.729 0.091 0.670
5. I have too many goals on this job (I am too overloaded) (R) -0.076 0.582 -0.098 0.647 -0.086 0.616
25. The goals I have on this job lead me to ignore other important aspects of my job (R) 0.181 0.580 0.181 0.597 0.038 0.661
23. My goals lead me to take excessive risks (R) 0.031 0.544 0.097 0.611 0.113 0.552
17. I am given incompatible or conflicting goals by different people (or even by the same person) (R)
0.254 0.506 0.355 0.523 0.360 0.474
2. I find working toward my goals to be very stressful (R) 0.220 0.485 0.069 0.577 0.135 0.467
3. My job goals serve to limit rather than raise my performance (R) 0.311 0.471 0.306 0.382 0.245 0.537
13. I often fail to attain my goals (R) 0.224 0.467 0.225 0.555 0.188 0.450
11. Some of my goals conflict with my personal values (R) 0.127 0.420 0.162 0.539 0.201 0.525
Time 1 n=320 Time 2 n=256 Time 3 n= 225
91.
Reliabilities and Correlations – Goal Setting
The means, standard deviations, Cronbach’s Alpha reliability coefficients and
inter-item correlations for the 24 item goal setting scale at Times 1, 2 and 3 are
presented in Tables 16, 17 and 18, respectively. Reliability coefficients and inter-item
correlations support the theoretical model advanced by Locke and Latham (1984).
Table 16 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales (Time 1 – 24 items)
Mean (S.D.) 1 2 3
1. Goal Setting (Total) 3.54 (0.55) (0.90)
2. Positive Goal Achievement Process 3.51 (0.67) 0.93** (0.91)
3. Negative Goal Achievement Process 3.59 (0.59) 0.71** 0.39** (0.79)
* = p<0.05; ** = p<0.01, n = 320, Cronbach’s Alpha Reliabilities on the diagonal, Negative
Goal Achievement Process Items were reversed prior to FA
Table 17 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales (Time 2 – 24 items)
Mean (S.D.) 1 2 3
1. Goal Setting (Total) 3.53 (0.56) (0.91)
2. Positive Goal Achievement Process 3.52 (0.67) 0.92** (0.92)
3. Negative Goal Achievement Process 3.55 (0.63) 0.73** 0.40** (0.83)
* = p<0.05; ** = p<0.01, n = 256, Cronbach’s Alpha Reliabilities on the diagonal, Negative
Goal Achievement Process Items were reversed prior to FA
Table 18 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales (Time 3 – 24 items)
Mean (S.D.) 1 2 3
1. Goal Setting (Total) 3.55 0.55 (0.90)
2. Positive Goal Achievement Process 3.54 0.67 0.92** (0.91)
3. Negative Goal Achievement Process 3.58 0.62 0.72** 0.40** (0.81)
* = p<0.05; ** = p<0.01, n = 225, Cronbach’s Alpha Reliabilities on the diagonal, Negative
Goal Achievement Process Items were reversed prior to FA
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Test-Retest Results
To determine whether any statistically significant changes occurred within the
sample over the eighteen-month time-period, a series of repeated measures ANOVAs
were conducted with planned comparisons using citizenship performance, EI and goal
setting (including their respective subscales) as dependent variables and time (Times 1,
2 and 3 data collections) as the within-subjects factors.
Repeated Measures ANOVA
When conducting the repeated measures ANOVAs, the Wilks’ Lambda criterion
was reported for the analysis, because it is the most commonly-reported statistic in the
social sciences (Pallant, 2005) and, according to Tabachnick and Fidell (1996:401), it is
the result ‘of choice’ when reporting ANOVA results. These results are presented in
Table 19.
Table 19 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting Time 1, 2 and 3 Repeated Measures ANOVAs (n = 89)
Wilks’
Lambda
F (df) p Bf d
Citizenship Performance (Total) 1.00 0.18 (2,86) 0.84 1.00 0.03
Interpersonal Facilitation 0.99 0.40 (2,86) 0.67 1.00 0.07
Job Dedication 0.99 0.07 (2,86) 0.94 1.00 0.00
Goal Setting (Total) 0.97 1.60 (2,86) 0.20 1.00 0.02
Positive Goal Attainment 0.99 0.47 (2,86) 0.63 1.00 0.02
Negative Goal Attainment 0.95 2.31 (2,86) 0.10 0.50 0.04
Emotional Intelligence (Total) 0.99 0.31 (2,86) 0.74 1.00 0.04
Awareness of Own Emotions 0.94 2.81 (2,86) 0.07 0.35 0.14
Ability to Discuss Own Emotions 0.93 3.48 (2,86) 0.03 0.15 0.20
Ability to Manage Own Emotions 0.98 1.08 (2,86) 0.34 1.00 0.04
Awareness of Others’ Emotions 0.99 2.77 (2,86) 0.07 0.35 0.02
Ability to Manage Others’ Emotions 0.95 1.58 (2,86) 0.21 1.00 0.07
* = p<0.05; ** = p<0.01.
An examination of the repeated measures ANOVAs presented in Table 19 reveal
that, for each of the citizenship performance and goal setting dimensions, there were no
significant differences across the three data collection points, demonstrating that there
93.
were no significant differences in these scores between the Times 1, 2 and 3.
Additionally, there was no change in overall EI. One of the subscales, ‘Ability to
Discuss Own Emotions’ was the only dimension that demonstrated a significant change.
However, according to Cohen’s (1988) standard classifications, the effect size was
small. All remaining EI subscales showed no significant changes.
Planned Comparisons
Finally, a series of simple and repeated contrasts were conducted to examine the
differences in the mean citizenship performance, EI and goal setting scores for the
sample participants between Time 1 and Time 3, and Time 2 and Time 3 data
collections. These results are presented in Table 20, where an examination of Table 20
demonstrates that there were no significant differences in Citizenship, EI, or goal setting
from Time 1 to Time 3 or Time 2 to Time 3. Correspondingly, the effect sizes were not
noteworthy.
Chapter Summary
This chapter has provided details of the method, sample and results of factor
analyses and repeated measures ANOVAs undertaken on data collected from a
normative sample of participants. Factor analysis revealed consistent solutions for
citizenship performance, EI and goal setting at their three collection periods. The factors
derived from these analyses have provided a structure from which data will be analysed
within the remainder of this thesis.
Repeated measures ANOVAs revealed no change in citizenship performance or
goal setting over time. However, there was a small change in one of the EI subscales
‘Ability to Discuss Own Emotions’. This change can be contributed to the replication of
the survey over three points in time that highlighted these issues to the respondents. The
overall results presented provide confidence that there were no major activities
occurring within the organisation over this period that may have impacted citizenship
performance, EI or goal setting significantly. These results provide a basis from which
the outcomes of the training programs presented later in this thesis can be examined.
94.
Table 20 F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting from Time 1 to Time 3, and Time 2 to Time 3 (n = 89)
F (df) p Bf d
Citizenship Performance (Total)
Time 1 to Time 2 0.04 (1,87) 0.85 1.00 0.00
Time 1 to Time 3 0.30 (1,87) 0.59 1.00 0.03
Time 2 to Time 3 0.21 (1,87) 0.65 1.00 0.02
Interpersonal Facilitation
Time 1 to Time 2 0.33 (1,87) 0.57 1.00 0.08
Time 1 to Time 3 0.63 (1,87) 0.43 1.00 0.05
Time 2 to Time 3 0.12 (1,87) 0.74 1.00 0.04
Job Dedication
Time 1 to Time 2 0.02 (1,87) 0.89 1.00 0.00
Time 1 to Time 3 0.04 (1,87) 0.84 1.00 0.00
Time 2 to Time 3 0.15 (1,87) 0.70 1.00 0.00
Goa-setting (Total)
Time 1 to Time 2 2.12 (1,87) 0.15 0.45 0.02
Time 1 to Time 3 0.11 (1,87) 0.89 1.00 0.00
Time 2 to Time 3 2.43 (1,87) 0.12 0.37 0.04
Positive Goal Attainment
Time 1 to Time 2 0.62 (1,87) 0.43 1.00 0.02
Time 1 to Time 3 0.00 (1,87) 1.00 1.00 0.00
Time 2 to Time 3 0.73 (1,87) 0.40 1.00 0.03
Negative Goal Attainment
Time 1 to Time 2 3.14 (1,87) 0.08 0.24 0.07
Time 1 to Time 3 0.07 (1,87) 0.80 1.00 0.00
Time 2 to Time 3 3.81 (1,87) 0.05 0.16 0.05
Emotional Intelligence (Total)
Time 1 to Time 2 0.42 (1,87) 0.52 1.00 0.09
Time 1 to Time 3 0.00 (1,87) 0.99 1.00 0.00
Time 2 to Time 3 0.60 (1,87) 0.44 1.00 0.01
Awareness of Own Emotions
Time 1 to Time 2 5.68 (1,87) 0.02 0.06 0.16
Time 1 to Time 3 1.96 (1,87) 0.17 0.49 0.04
Time 2 to Time 3 0.72 (1,87) 0.40 1.00 0.13
Ability to Discuss Own Emotions
Time 1 to Time 2 6.37 (1,87) 0.01 0.04 0.24
Time 1 to Time 3 2.04 (1,87) 0.16 0.47 0.15
Time 2 to Time 3 1.61 (1,87) 0.21 0.62 0.09
Ability to Manage Own Emotions
Time 1 to Time 2 1.27 (1,87) 0.26 0.79 0.04
Time 1 to Time 3 1.49 (1,87) 0.23 0.68 0.04
Time 2 to Time 3 0.02 (1,87) 0.89 1.00 0.00
Awareness of Others’ Emotions
Time 1 to Time 2 0.59 (1,87) 0.46 1.00 0.07
Time 1 to Time 3 0.08 (1,87) 0.78 1.00 0.09
Time 2 to Time 3 0.33 (1,87) 0.57 1.00 0.02
Ability to Manage Others’ Emotions
Time 1 to Time 2 3.85 (1,87) 0.05 0.16 0.20
Time 1 to Time 3 0.50 (1,87) 0.48 1.00 0.14
Time 2 to Time 3 1.06 (1,87) 0.31 0.92 0.07
* = p<0.05; ** = p<0.01.
95.
In the next chapter, I explore the relationships between citizenship performance,
EI and goal setting. Specific hypotheses will be outlined and tested through statistical
techniques, including bivariate correlations and standard regression analyses, on the
same normative sample outlined within this chapter. These results will provide a greater
understanding of the relationship between the three constructs and inform the outcomes
of the study presented in the subsequent chapters.
96.
CHAPTER FIVE
Study 1 – Analysis of the Normative Sample Exploring the Relationship
between Emotional Intelligence, Citizenship Performance and Goal
Setting
Overview
In Chapter Three of this thesis, the links between EI and a variety of work skills,
such as conflict resolution (Jordan & Troth, 2002; 2004), negotiations (Elfenbein et al.,
2007), teamwork (Offermann et al., 2004), coping with work demands (Nikolaou &
Tsaousis, 2002), coping with change (Carmeli, 2003) and the balancing of work and
family (Carmeli, 2003) were discussed. Recent research has demonstrated that emotions
are linked to citizenship performance (Carmeli, 2003; Carmeli & Josman, 2006;
Charbonneau & Nicol, 2002) and goal setting (Jordan et al., 2002; Spence, Oades, &
Caputi, 2004). To date, however, research exploring the relationship between EI,
citizenship performance and goal setting has been minimal (Carmeli & Josman, 2006).
Therefore, the aim of this chapter is to establish a case for the construct validity of the
WEIP-6 measure of EI in the particular context of the overall research project. In
addition, the predictive capacities of the WEIP-6 sub-dimensions are examined.
Pearson product-moment correlation coefficients will be calculated to explore the
strength of these relationships. Next, standard multiple regressions will be conducted to
determine which dimensions of EI are significant predictors of citizenship performance
and goal setting. Finally, analysis using matched-panel data will be employed to more
rigorously test the relationship between EI, citizenship performance and goal setting,
and eliminate the potential for common method variance.
Hypothesis Development
Hypotheses for Emotional Intelligence and Citizenship Performance
Variables
Six hypotheses are proposed to determine the relationship between EI and
citizenship performance (and its subscales of interpersonal facilitation and job
dedication) (Motowildo & Van Scotter, 1994; Van Scotter & Motowidlo, 1996). As
outlined in Chapter Four, the links between positive emotions and citizenship
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behaviours in organisations have been extensively discussed and empirically tested by
authors such as, Isen (1993), Isen et al. (1976), and Staw et al. (1994). However, the
relationship between EI and citizenship performance requires further examination
(Carmeli & Josman, 2006). Based on the above research, the following three hypotheses
have been developed:
Hypothesis 1: High levels of EI will predict high levels of citizenship performance.
Hypothesis 2: High levels of EI will predict high levels of interpersonal
facilitation.
Hypothesis 3: High levels of EI will predict high levels of job dedication.
Hypotheses for Emotional Intelligence and Goal Setting Variables
Only a small number of researchers have examined the relationship between EI
and goal setting. Nevertheless, as outlined in Chapter Four, there has been a variety of
research conducted to examine the links between emotion and goal setting (see Bagozzi
et al., 1998; Cron et al., 2005; Oatley, 1988; Oatley & Johnson-Laird, 1996; Frijda et al.,
1989). With this goal in mind, a further three hypotheses were developed and are as
follows:
Hypothesis 4: High levels of EI will predict high levels of goal setting.
Hypothesis 5: High levels of EI will predict high levels of positive goal process.
Hypothesis 6: High levels of EI will predict low levels of negative goal process.
Method
The method of data collection, the sample of participants (Times 1, 2 and 3),
measures and the data screening procedures used within this chapter were outlined in
Chapter Four. The purpose of this chapter is to determine what relationships exist
between EI, citizenship performance and goal setting. To do this, Pearson product-
moment correlations were conducted on the scales derived from the normative sample
presented in the previous chapter. Furthermore, a series of regressions were completed
to explore the relationships outlined previously.
98.
Results – Emotional Intelligence and Citizenship Performance
The three data collections from the normative sample (over the eighteen-month
collection period) provide an excellent opportunity for investigating the relationships
between the variables. In this section the relationships are examined between EI and the
five EI dimensions (‘Awareness of Others’ Emotions’, ‘Ability to Discuss Own
Emotions’, ‘Ability to Manage Own Emotions’, ‘Ability to Manage Others’ Emotions’
and ‘Awareness of Own Emotions’) and citizenship performance and its two dimensions
of ‘Interpersonal Facilitation’ and ‘Job Dedication’.
Bivariate Analyses
Pearson correlations were performed on the data collected. The results of the two-
tailed tests were interpreted in accordance with Cohen’s (1998) guidelines. Times 1, 2
and 3 correlations revealed significant relationships between the dimensions of EI and
citizenship performance variables. These results are presented in Table 21.
As can be seen in Table 21, at Time 1, all relationships were significant. However,
the strongest relationship was between total EI and total citizenship performance. Strong
relationships were also found between EI and the subscale ‘Interpersonal Facilitation’
and the subscale ‘Ability to Manage Own Emotions’, and citizenship performance. The
remainder of the variables showed moderate relationships except for ‘Awareness of
Own Emotions’ and ‘Ability to Discuss Own Emotions’. ‘Awareness of Own Emotions’
correlated weakly with total citizenship performance and the subscales of ‘Interpersonal
Facilitation’ and ‘Job Dedication’. ‘Ability to Discuss Own Emotions’ and ‘Job
Dedication’ also reported small correlations.
At Time 2, there were similar strong relationships as were present at Time 1, with
the addition of large correlations between: ‘Ability to Manage Others’ Emotions’ and
total citizenship performance; ‘Ability to Discuss Own Emotions’, ‘Ability to Manage
Own Emotions’, ‘Ability to Manage Others’ Emotions’ and ‘Interpersonal Facilitation’;
and Total EI, ‘Ability to Manage Own Emotions’ and ‘Job Dedication’. The remainder
of the variables showed moderate relationships. Finally, at Time 3, large correlations
occurred between total citizenship performance, ‘Interpersonal Facilitation’ and all
dimensions of EI except for ‘Awareness of Own Emotions’, which showed a small but
significant correlation. A moderate relationship was revealed between ‘Job Dedication’
99.
and all of the EI dimensions (except for ‘Awareness of Own Emotions’, which again
showed a small but significant correlation).
Table 21 Times 1, 2 and 3 Correlations between EI and Citizenship Performance
Citizenship
Performance
Interpersonal
Facilitation
Job
Dedication
T1 Emotional Intelligence (n = 320) 0.57** 0.56** 0.43**
Awareness of Others’ Emotions 0.41** 0.42** 0.30**
Ability to Discuss Own Emotions 0.38** 0.40** 0.27**
Ability to Manage Own Emotions 0.51** 0.47** 0.42**
Ability to Manage Others’ Emotions 0.45** 0.44** 0.35**
Awareness of Own Emotions 0.20** 0.19** 0.16**
T2 Emotional Intelligence (n = 256) 0.65** 0.67** 0.53**
Awareness of Others’ Emotions 0.45** 0.45** 0.37**
Ability to Discuss Own Emotions 0.47** 0.56** 0.33**
Ability to Manage Own Emotions 0.61** 0.57** 0.53**
Ability to Manage Others’ Emotions 0.56** 0.58** 0.45**
Awareness of Own Emotions 0.36** 0.35** 0.30**
T3 Emotional Intelligence (n=225) 0.65** 0.72** 0.48**
Awareness of Others’ Emotions 0.50** 0.58** 0.34**
Ability to Discuss Own Emotions 0.53** 0.63** 0.35**
Ability to Manage Own Emotions 0.56** 0.56** 0.45**
Ability to Manage Others’ Emotions 0.56** 0.56** 0.45**
Awareness of Own Emotions 0.19** 0.19** 0.15*
* = p<0.05; ** = p<0.01.
Multivariate Analyses
To explore further the importance of these relationships (which dimensions of EI
are predictors of citizenship performance) standard multiple regressions were conducted
on the three data sets. The combined results of these analyses are presented in Table 22.
Citizenship performance variables were treated as the dependent variables and EI
variables are the predictor (independent) variables within this model.
100.
Table 22 Time 1, 2 & 3, Standard Regression Analyses between Citizenship Performance (DV) and EI variables (IVs) Time 1 (n = 320) Time 2 (n = 256) Time 3 (n = 225)
Beta Value (b)
Significance Beta Value (b)
Significance Beta Value (b)
Significance
1 Citizenship Performance
Awareness of Own Emotions 0.04 0.39 0.08 0.10 -0.06 0.30
Ability to Discuss Own Emotions 0.08 0.15 0.15 0.01* 0.20 0.01*
Ability to Manage Own Emotions 0.34 0.00** 0.39 0.00** 0.30 0.00**
Awareness of Others’ Emotions 0.13 0.02* 0.02 0.80 0.15 0.02*
Ability to Manage Others’ Emotions 0.20 0.00** 0.26 0.00** 0.23 0.01**
2 Interpersonal Facilitation
Awareness of Own Emotions 0.04 0.46 0.08 0.10 -0.07 0.14
Ability to Discuss Own Emotions 0.12 0.04* 0.28 0.00** 0.33 0.00**
Ability to Manage Own Emotions 0.28 0.00** 0.31 0.00** 0.26 0.00**
Awareness of Others’ Emotions 0.16 0.01** -0.02 0.80 0.25 0.00**
Ability to Manage Others’ Emotions 0.18 0.01** 0.27 0.00** 0.13 0.03*
3 Job Dedication
Awareness of Own Emotions 0.04 0.51 0.07 0.22 -0.03 0.60
Ability to Discuss Own Emotions 0.03 0.59 0.03 0.66 0.06 0.41
Ability to Manage Own Emotions 0.31 0.00** 0.38 0.00** 0.28 0.00**
Awareness of Others’ Emotions 0.08 0.21 0.03 0.62 0.06 0.44
Ability to Manage Others’ Emotions
0.16 0.01* 0.21 0.01** 0.25 0.01**
* = p<0.05; ** = p<0.01.
101.
At Time 1 (regression model 1) the five EI variables accounted for 35.6% of the
variance in citizenship performance at (R2= 0.356). However, only three of the subscales
(‘Awareness of Others’ Emotions’, ‘Ability to Manage Own Emotions’ and ‘Ability to
Manage Others’ Emotions’) emerged as significant predictors. In the second model, the
EI variables accounted 33.3% of the variance in interpersonal facilitation (R2 = 0.333).
All EI variables except for awareness of own emotions were significant predictors. In
regression model three, 22.2% of the variance in job dedication (R2 = 0.222) was
explained by the EI dimensions. ‘Ability to Manage Own Emotions’ and ‘Ability to
Manage Others’ Emotions’ emerged as significant predictors.
At Time 2, the first regression model demonstrates that the EI variables accounted
for 48.8% of the variance in citizenship performance (R2= 0.488). In this model,
‘Ability to Discuss Own Emotions’, ‘Ability to Manage Own Emotions’ and ‘Ability to
Manage Others’ Emotions’ emerged as significant predictors. In model two 50.7% of
the variance in IS is explained by the EI variables (R2= 0.507). ‘Ability to Discuss Own
Emotions’, ‘Ability to Manage Own Emotions’ and ‘Ability to Manage Others’
Emotions’ were again significant predictors. In the final Time 2 model, the EI
dimensions accounted for 33.8% of the variance in job dedication (R2= 0.338). As at
Time 1, ‘Ability to Manage Own Emotions’ and ‘Ability to Manage Others’ Emotions’
were found to significantly predict ‘Job Dedication’.
Results of the first Time 3 regression model revealed that the EI dimensions
accounted for 46.4% of the variance in citizenship performance (R²= 0.464). As for the
Time 2 model, ‘Ability to Discuss Own Emotions’, ‘Ability to Manage Own Emotions’
and ‘Ability to Manage Others’ Emotions’ emerged as significant predictors within this
model. In model two, 55.8% of the variance in interpersonal facilitation (R²= 0.558) is
explained by the EI variables. ‘Ability to Discuss Own Emotions’, ‘Ability to Manage
Own Emotions’ and ‘Ability to Manage Others’ Emotions’ emerged as significant
predictors. Finally, 27.0% of the variance in job dedication (R²= 0.270) was explained
by the EI dimensions. ‘Ability to Manage Own Emotions’ and ‘Ability to Manage
Others’ Emotions’ emerged as significant predictors in model three. Based on the results
outlined, Hypotheses 1, 2 and 3 were partially supported.
102.
Results – Emotional Intelligence and Goal Setting
In this section, the relationship between EI and its five EI dimensions and goal
setting and its two dimensions of ‘Positive Goal Process’ and ‘Negative Goal Process’
are explored. Pearson correlations and standard multiple regression analyses were used
to explore relationships at Times 1, 2 and 3 data collections. The results are presented in
Table 23.
Bivariate Analyses
At Time 1 (Table 23), the most significant relationship (a medium correlation
according to Cohen’s 1988 criteria) was found between EI and positive goal process.
Medium correlations were also observed between: EI, ‘Ability to Manage Own
Emotions’, ‘Ability to Manage Others’ Emotions’ and ‘Total Goal Setting’; and ‘Ability
to Discuss Own Emotions’, ‘Ability to Manage Own Emotions’, ‘Ability to Manage
Others’ Emotions’ and ‘Positive Goal Process’. Small correlations were found between:
‘Awareness of Others’ Emotions’, ‘Ability to Discuss Own Emotions’, ‘Awareness of
Own Emotions’ and Total Goal Setting; ‘Awareness of Others’ Emotions’, ‘Awareness
of Own Emotions’ and ‘Positive Goal Process’; and the EI scale, ‘Ability to Manage
Own Emotions’, ‘Awareness of Own Emotions’ and ‘Negative Goal Process. Finally,
‘Negative Goal Process’ did not correlate significantly with ‘Awareness of others’
Emotions’, ‘Ability to Discuss Own Emotions’ or the subscale ‘Awareness of Own
Emotions’.
At Time 2, a large correlation was found between the total EI scale and ‘Positive
Goal Process’. Small correlations were found between: ‘Awareness of Others’
Emotions’ and ‘Total Goal Setting’; ‘Awareness of Others’ Emotions’, ‘Awareness of
Own Emotions’ and ‘Positive Goal Process’; and total EI, ‘Ability to Manage Own
Emotions’, ‘Awareness of Own Emotions’ and ‘Negative Goal Process’. As with the
Time 1 analysis: ‘Negative Goal Process’ did not correlate significantly with
‘Awareness of Others’ Emotions’, ‘Ability to Discuss Own Emotions’ or ‘Awareness of
Own Emotions’. All remaining variables shared a moderate relationship within Time 2.
The final correlations undertaken on the Time 3 data revealed similar results to those
reported for the Time 1 data analysis. The most significant relationship occurred
between the total EI and the ‘Positive Goal Process’. As with both the Times 1 and 2
103.
analyses, ‘Negative Goal Process’ did not correlate significantly with ‘Awareness of
Others’ Emotions’, ‘Ability to Discuss Own Emotions’ or ‘Awareness of Own
Emotions’.
Table 23 Correlations between EI and Goal Setting (Time 1)
Goal Setting Positive Goal
Process
Negative
Goal
Process
T1 Emotional Intelligence (n = 320) 0.38** 0.43** -0.12*
Awareness of Own Emotions 0.18** 0.12* -0.22**
Ability to Discuss Own Emotions 0.29** 0.35** -0.05
Ability to Manage Own Emotions 0.33** 0.35** -0.15**
Awareness of Others’ Emotions 0.22** 0.28** -0.08
Ability to Manage Others’ Emotions 0.32** 0.38** -0.07
T2 Emotional Intelligence (n = 256) 0.45** 0.50** -0.18**
Awareness of Own Emotions 0.30** 0.23** -0.30**
Ability to Discuss Own Emotions 0.36** 0.42** -0.11
Ability to Manage Own Emotions 0.42** 0.44** -0.22**
Awareness of Others’ Emotions 0.29** 0.36** -0.05
Ability to Manage Others’ Emotions 0.32** 0.37** -0.10
T3 Emotional Intelligence (n = 225) 0.38** 0.41** -0.18**
Awareness of Own Emotions 0.24** 0.15* -0.29**
Ability to Discuss Own Emotions 0.36** 0.42** -0.11
Ability to Manage Own Emotions 0.39** 0.39** -0.21**
Awareness of Others’ Emotions 0.13* 0.18** -0.01
Ability to Manage Others’ Emotions 0.36** 0.39** -0.16*
* = p<0.05; ** = p<0.01.
Multivariate Analyses
To further explore the importance of the relationships outlined above, a series of
standard multiple regressions were conducted on the Times 1, 2 and 3 data. The
combined results of these analyses are presented in Table 24. Within these models, the
goal setting variables are treated as dependent variables and the EI variables are the
predictor variables.
104.
Table 24 Standard Regression Analyses between Goal Setting (DV) and EI variables (IVs) Time 1 (n = 320) Time 2 (n = 256) Time 3 (n = 225)
Beta Value (b) Significance Beta Value (b) Significance Beta Value (b) Significance
1 Goal Setting
Awareness of Own Emotions 0.08 0.13 0.13 0.04* 0.12 0.05
Ability to Discuss Own Emotions 0.13 0.05* 0.19 0.01** 0.23 0.01**
Ability to Manage Own Emotions 0.21 0.01** 0.28 0.00** 0.24 0.01**
Awareness of Others’ Emotions -0.03 0.69 -0.01 0.89 -0.24 0.01**
Ability to Manage Others’ Emotions 0.18 0.01** 0.05 0.50 0.21 0.01**
2 Positive Goal Process
Awareness of Own Emotions 0.00 0.99 0.09 0.90 0.01 0.85
Ability to Discuss Own Emotions 0.17 0.01** 0.23 0.01** 0.30 0.00**
Ability to Manage Own Emotions 0.19 0.01** 0.28 0.00** 0.24 0.01**
Awareness of Others’ Emotions 0.02 0.73 0.08 0.27 -0.20 0.01**
Ability to Manage Others’ Emotions 0.21 0.01** 0.07 0.34 0.20 0.01**
3 Negative Goal Process
Awareness of Own Emotions 0.20 0.00** 0.29 0.00** 0.27 0.00**
Ability to Discuss Own Emotions -0.01 0.90 0.04 0.56 0.02 0.82
Ability to Manage Own Emotions 0.14 0.02* 0.17 0.02* 0.15 0.06
Awareness of Others’ Emotions -0.11 0.12 -0.16 0.04* -0.23 0.01**
Ability to Manage Others’ Emotions 0.04 0.59 -0.00 0.97 0.14 0.11
* = p<0.05; ** = p<0.01.
105.
Collectively the EI variables accounted for 17.0% of the variance in goal setting at
Time 1 (R2= 0.170). In this model: ‘Ability to Discuss Own Emotions’, ‘Ability to
Manage Own Emotions’ and ‘Ability to Manage Others’ Emotions’ emerged as
significant predictors. In the second regression model, the variables accounted for
21.2% of the variance in ‘Positive Goal Process’ (R2 = 0.212). ‘Ability to Discuss Own
Emotions’, ‘Ability to Manage Own Emotions’ and ‘Ability to Manage Others’
Emotions’ again emerged as the significant predictors of ‘Positive Goal Process’.
Finally, in the third regression model, 6.8% of the variance in ‘Negative Goal Process’
(R2 = 0.068) was accounted for by the EI variables. In addition, ‘Ability to Manage Own
Emotions’ and ‘Awareness of Own Emotions’ emerged as significant predictors.
The results of the Time 2 standard regressions revealed that the EI variables were
significant predictors and accounted for 23.7% of the variance in goal setting (R2=
0.488). In model 1, ‘Ability to Discuss Own Emotions’, ‘Ability to Manage Own
Emotions’ and ‘Awareness of Own Emotions’ emerged as significant predictors of goal
setting. In the second model 27.1% of the variance in ‘Positive Goal Process’ is
explained by the EI variables (R2= 0.271). ‘Ability to Discuss Own Emotions’ and
‘Ability to Manage Own Emotions’ were the significant predictors in this model. In the
final Time 2 model, 12.2% of the variance in ‘Negative Goal Process’ (R2 = 0.122) was
explained by the EI dimensions. Specifically, ‘Awareness of Others’ Emotions’, ‘Ability
to Manage Own Emotions’ and ‘Awareness of Own Emotions’ were the significant
predictors. Based on these results Hypotheses 4, 5 and 6 were partially supported.
Examination of Panel Data
Whereas the previous section of this chapter has examined the Time 1, 2 and 3
data collections in separation, this section will examine the matched panel data from
across the three time collections. These data will be analysed using the same bivariate
and multivariate methods used above to provide an understanding of the relationship
between EI, citizenship performance and goal setting for the participants that completed
all three surveys. The main difference with these analyses, however, will be in the way
that the data are compared. In the previous sections of this chapter, data were based on a
cross-sectional data collected at a single point in time and, therefore, may have been
influenced by common method variance. In this section, the data will be compared
106.
across time to more rigorously test the relationship between the variables and eliminate
the potential for common method variance.
Results – Panel Data
Bivariate Analyses
Pearson correlations were performed on the matched panel data (n = 88). The
results of the tests were again consistent with the guidelines proposed by Cohen (1998).
The results for the correlations that were conducted on the EI and citizenship
performance and EI and goal setting data are outlined in Tables 25 and 26, respectively.
As can be seen in Table 25, the relationships between Times 1, 2 and 3 total EI
and Times 1, 2 and 3 citizenship performance, and its subscales of ‘Interpersonal
Facilitation’ and ‘Job Dedication’, ranged from strong to moderate. The remainder of
the variables showed strong, moderate and small correlations except for Time 3
‘Awareness of Emotions’, which correlated weakly with citizenship performance at
Times 1 and 2, with ‘Interpersonal Facilitation’ at Time 1 and with ‘Job Dedication’ at
Times 1 and 3. Time 2 ‘Interpersonal Facilitation’ was weakly correlated to Time 1
‘Ability to Manage Own Emotions’.
In terms of the relationships between the EI and the goal setting variables, Table
26 demonstrates mixed results. First, moderate relationships were found between the
Times 1, 2 and 3 EI and the Times 1, 2 and 3 goal setting and its subscale ‘Positive Goal
Process’; however, ‘Negative Goal Process correlated weakly with EI across all points
in time. Second, Times 1, 2 and 3 ‘Awareness of Others Emotions’ correlated weakly
with goal setting, ‘Positive Goal Process’ and ‘Negative Goal Process’ at all three points
in time. Third, Times 1, 2 and 3 ‘Negative Goal Process’ was found to be weakly
correlated with all Times 1, 2 and 3 EI subscale variables, except for ‘Awareness of
Own Emotions’ at Times 1 and 2, ‘Ability to Manage Own Emotions’ at Time 3, and
‘Awareness of Own Emotions at Time 3. Weak correlations were also demonstrated
between: Time 1 ‘Awareness of Own Emotions’, Time 3 goal setting and Times 1 and 2
‘Positive Goal Process’; Time 3 ‘Awareness of Own Emotions’ and Time 1 goal setting,
and Times 1, 2 and 3 ‘Positive Goal Process’; and Time 1 ‘Ability to Discuss Own
Emotions’ and Time 2 goal setting.
107.
Table 25 Correlations between EI and Citizenship Performance (Panel Data n = 88)
Time 1 Time 2 Time 3
CP IF JD CP IF JD CP IF JD
T1 Emotional Intelligence 0.52** 0.49** 0.43** 0.51** 0.51** 0.40** 0.46** 0.54** 0.35**
Awareness of Own Emotions 0.27* 0.25* 0.22* 0.35** 0.26* 0.33** 0.29** 0.32** 0.19
Ability to Discuss Own Emotions 0.44** 0.45** 0.35** 0.37** 0.45** 0.25* 0.31** 0.39** 0.22*
Ability to Manage Own Emotions 0.35** 0.27* 0.35** 0.29** 0.20 0.28** 0.33** 0.32** 0.29**
Awareness of Others’ Emotions 0.36** 0.34** 0.30** 0.40** 0.45** 0.28** 0.32** 0.42** 0.21*
Ability to Manage Others’
Emotions
0.42** 0.45** 0.31** 0.44** 0.44** 0.34** 0.32** 0.46** 0.34**
T2 Emotional Intelligence 0.51** 0.53** 0.39** 0.72** 0.74** 0.57** 0.54** 0.62** 0.39**
Awareness of Own Emotions 0.29** 0.32** 0.21* 0.45** 0.46** 0.36** 0.29** 0.32** 0.23*
Ability to Discuss Own Emotions 0.43** 0.48** 0.31** 0.63** 0.72** 0.44** 0.52** 0.60** 0.40**
Ability to Manage Own Emotions 0.36** 0.35** 0.30** 0.52** 0.47** 0.45** 0.39** 0.48** 0.28**
Awareness of Others’ Emotions 0.36** 0.36** 0.28** 0.50** 0.50** 0.41** 0.32** 0.41** 0.22*
Ability to Manage Others’
Emotions
0.47** 0.50** 0.34** 0.62** 0.62** 0.50** 0.46** 0.52** 0.36**
T3 Emotional Intelligence 0.51** 0.52** 0.40** 0.65** 0.68** 0.50** 0.68** 0.75** 0.55**
Awareness of Own Emotions 0.15 0.13 0.14 0.25* 0.22* 0.22* 0.18 0.21* 0.13
Ability to Discuss Own Emotions 0.49** 0.52** 0.37** 0.53** 0.63** 0.36** 0.63** 0.72** 0.49**
Ability to Manage Own Emotions 0.30** 0.28** 0.25* 0.48** 0.39** 0.44** 0.46** 0.46** 0.40**
Awareness of Others’ Emotions 0.43** 0.46** 0.52** 0.46** 0.50** 0.35** 0.51** 0.57** 0.40**
Ability to Manage Others’
Emotions
0.38** 0.37** 0.32** 0.60** 0.65** 0.45** 0.60** 0.65** 0.49**
* = p<0.05; ** = p<0.01.
108.
Table 26 Correlations between EI and Goal Setting (Panel Data n = 88)
Time 1 Time 2 Time 3
GS PG NG GS PG NG GS PG NG
T1 Emotional Intelligence 0.36** 0.41** 0.07 0.34** 0.40** 0.10 0.27** 0.36** 0.01
Awareness of Own Emotions 0.27* 0.20 0.25* 0.32** 0.28** 0.27* 0.16 0.17 0.10
Ability to Discuss Own Emotions 0.38** 0.43** 0.09 0.19 0.25* 0.01 0.23* 0.30** 0.02
Ability to Manage Own Emotions 0.30** 0.33** 0.07 0.28** 0.34** 0.06 0.23* 0.32** -0.02
Awareness of Others’ Emotions 0.09 0.18 -0.14 0.19 0.25* 0.01 0.08 0.15 -0.09
Ability to Manage Others’
Emotions
0.33** 0.34** 0.12 0.33** 0.37** 0.14 0.32** 0.39** 0.10
T2 Emotional Intelligence 0.42** 0.45** 0.13 0.42** 0.45** 0.13 0.29** 0.37** 0.05
Awareness of Own Emotions 0.34** 0.27* 0.31** 0.34** 0.27* 0.31* 0.28** 0.29** 0.15
Ability to Discuss Own Emotions 0.41** 0.45** 0.12 0.41** 0.45** 0.12 0.25* 0.28** 0.11
Ability to Manage Own Emotions 0.47** 0.50** 0.17 0.47** 0.50** 0.17 0.40** 0.44** 0.19
Awareness of Others’ Emotions 0.14 0.17 -0.05 0.11 0.17 -0.05 0.02 0.12 -0.19
Ability to Manage Others’
Emotions
0.35** 0.39** 0.08 0.35** 0.39** 0.08 0.30** 0.37** 0.07
T3 Emotional Intelligence 0.37** 0.40** 0.13 0.37** 0.41** 0.15 0.35** 0.42** 0.12
Awareness of Own Emotions 0.16 0.06 0.29** 0.24** 0.13 0.34** 0.24* 0.13 0.34**
Ability to Discuss Own Emotions 0.36** 0.48** -0.07 0.31** 0.41** 0.01 0.36** 0.46** 0.05
Ability to Manage Own Emotions 0.45** 0.46** 0.21 0.36** 0.34** 0.24* 0.35** 0.39** 0.16
Awareness of Others’ Emotions 0.07 0.09 0.01 0.14 0.18 0.01 0.04 0.10 -0.09
Ability to Manage Others’
Emotions
0.36** 0.37** 0.15 0.35** 0.43** 0.06 0.41** 0.48** 0.13
* = p<0.05; ** = p<0.01.
109.
Multivariate Analyses
To provide a further exploration of the relationships between EI and citizenship
performance and EI and goal setting, standard multiple regressions were conducted on
the entire panel data set (n = 88). The combined results of these analyses are presented
in Tables 27, 28 and 29. Citizenship performance and goal setting were treated as the
dependent variables and EI was treated as the predictor variable in these models.
Because 54 different regressions were completed, two complete tables outlining the
variance explained by the EI dimensions for citizenship performance and goal setting
variables are presented in Tables 27 and 28. The results for all regressions are then
presented in Table 29.
Table 27 Coefficients of Variation between Citizenship Performance (DV) and EI (IV) Panel Data (n = 88) Time 1 EI Time 2 EI Time 3 EI
R² R² R²
T1 Citizenship Performance (Total) 0.28 0.28 0.29
Interpersonal Facilitation 0.27 0.32 0.33
Job Dedication 0.20 0.15 0.17
T2 Citizenship Performance (Total) 0.28 0.55 0.46
Interpersonal Facilitation 0.31 0.62 0.52
Job Dedication 0.19 0.33 0.28
T3 Citizenship Performance (Total) 0.23 0.32 0.52
Interpersonal Facilitation 0.30 0.44 0.62
Job Dedication 0.15 0.19 0.34
In terms of the relationship between EI and citizenship performance: Time 1
‘Awareness of Own Emotions’ emerged as a significant predictor of citizenship
performance at Time 3. Time 1 ‘Ability to Discuss Own Emotions’ significantly
predicted citizenship performance at Times 1 and 3. Time 2 ‘Ability to Discuss Own
Emotions’ significantly predicted citizenship performance at Time 2. Finally, at Time 3
citizenship performance was significantly predicted by Time 3 ‘Awareness of Others;
Emotions’, ‘Ability to Discuss Own Emotions’, and ‘Ability to Manage Others’
Emotions’.
110.
In relation to EI and Time 1 ‘Interpersonal Facilitation’: Time 3 ‘Awareness of
Others’ Emotions’ was a significant predictor; Times 1, 2 and 3 ‘Ability to Discuss Own
Emotions’, emerged as significant predictors; and Time 1 and 2 ‘Ability to Manage
Others’ Emotions’ significantly predicted ‘Interpersonal Facilitation’ at Time 1.
Examining EI and Time 2 ‘Interpersonal Facilitation’, Time 1 ‘Awareness of Others’
Emotions’, Time 2 and 3 ‘Ability to Discuss Own Emotions’, Times 1, 2 and 3 ‘Ability
to Manage Others’ Emotions’, and Time 2 ‘Awareness of Own Emotions’ all emerged
as significant predictors of ‘Interpersonal Facilitation’ at Time 2. Finally, Time 3
‘Interpersonal Facilitation’ was found to be significantly predicted by Time 1
‘Awareness of Others’ Emotions’, Time 2 and 3 ‘Ability to Discuss Own Emotions’,
and Time 3 ‘Ability to Manage Others’ Emotions.
Next: Time 1 ‘Job Dedication’ was significantly predicted by Time 1 ‘Ability to
Manage Others’ Emotions’, Time 2 ‘Job Dedication’ was predicted by Time 3 ‘Ability
to Manage Others’ Emotions’, and Time 3 ‘Job Dedication’ was predicted by Time 2
‘Ability to Discuss Own Emotions’.
Moving to Table 28, Time 1 goal setting; Times 1, 2 and 3 ‘Awareness of Others’
Emotions’, Times 1 and 2 ‘Ability to Discuss Own Emotions’, and Times 2 and 3
‘Ability to Manage Own Emotions’ emerged as significant predictors of overall goal
setting at Time 1. For Time 2 goal setting: only Time 2 ‘Ability to Manage Others’
Emotions’ and ‘Awareness of Own Emotions’ were revealed as significant predictors. In
terms of goal setting at Time 3, both Time 2 and 3 ‘Awareness of Others’ Emotions’,
Time 2 ‘Ability to Manage Others’ Emotions’, and Time 3 ‘Ability to Manage Own
Emotions’ emerged as significant predictors.
With respect to Time 1, ‘Positive Goal Process’ was significantly predicted by,
‘Awareness of Others’ Emotions’ at Times 2 and 3, ‘Ability to Discuss Own Emotions’
at Times 1, 2 and 3’, and ‘Ability to Manage Own Emotions’ at Time 1, 2 and 3. An
examination of ‘Positive Goal Process’ at Time 2 demonstrated that, Time 2 ‘Ability to
Discuss Own Emotions’ and ‘Ability to Manage Own Emotions’ were significant
predictors. At Time 3, Time 2 and 3 ‘Awareness of Others’ Emotions’, Time 3 ‘Ability
to Discuss Own Emotions’, Time 2 and 3 ‘Ability to Manage Own Emotions’, and Time
3 ‘Ability to Manage Others’ emotions all emerged as significant predictors of time 3
‘Positive Goal Setting’.
111.
Table 28 Coefficients of Variation between Goal Setting (DV) and EI (IV) Panel Data Time 1 EI Time 2 EI Time 3 EI
R² R² R²
T1 Goal Setting (Total) 0.26 0.33 0.29
Positive Goal Process 0.26 0.34 0.37
Negative Goal Process 0.16 0.14 0.18
T2 Goal Setting (Total) 0.17 0.30 0.20
Positive Goal Process 0.19 0.35 0.24
Negative Goal Process 0.10 0.20 0.16
T3 Goal Setting (Total) 0.14 0.26 0.29
Positive Goal Process 0.20 0.26 0.35
Negative Goal Process 0.05 0.17 0.19
Finally, an examination of Time 1 ‘Negative Goal Process’ revealed that Time
1’Awareness of Others’ Emotions’, Time 3 ‘Ability to Discuss Own Emotions’, and
Times 1, 2 and 3 ‘Awareness of Own Emotions’ emerged as significant predictors. At
Time 2, Time 2 ‘Awareness of Others’ Emotions’ and Times 1, 2 and 3 ‘Awareness of
Own Emotions’ were revealed as significant predictors. Finally, Time 2 and 3
‘Awareness of Others’ Emotions’ and Time 3 ‘Awareness of Own Emotions’ were
significant predictors of ‘Negative Goal Process’ at Time 3.
112.
Table 29 Standard Regression Analyses between Goal Setting (DV) and EI variables (IVs) (Panel Data n = 88) Time 1 Time 2 Time 3
Beta Value
(ββββ)
Significance Beta Value
(ββββ)
Significance Beta Value
(ββββ)
Significance
T1 Citizenship Performance
Awareness of Own Emotions 0.08 0.47 0.07 0.50 -0.01 0.99
Ability to Discuss Own Emotions 0.26 0.03* 0.20 0.10 0.34 0.01**
Ability to Manage Own Emotions 0.17 0.12 0.07 0.56 0.06 0.59
Awareness of Others’ Emotions 0.74 0.53 0.09 0.46 0.23 0.04*
Ability to Manage Others’ Emotions 0.14 0.25 0.24 0.07 0.02 0.87
T1 Interpersonal Facilitation
Awareness of Own Emotions 0.07 0.51 0.09 0.36 -0.03 0.73
Ability to Discuss Own Emotions 0.26 0.03* 0.25 0.03* 0.40 0.01**
Ability to Manage Own Emotions 0.05 0.64 0.01 0.97 0.03 0.76
Awareness of Others’ Emotions 0.56 0.64 0.07 0.52 0.29 0.01**
Ability to Manage Others’ Emotions 0.24 0.05* 0.28 0.03* -0.05 0.72
T1 Job Dedication
Awareness of Own Emotions 0.06 0.56 0.04 0.73 0.03 0.82
Ability to Discuss Own Emotions 0.22 0.09 0.12 0.38 0.22 0.12
Ability to Manage Own Emotions 0.23 0.05* 0.11 0.41 0.70 0.57
Awareness of Others’ Emotions 0.07 0.55 0.08 0.54 0.15 0.24
Ability to Manage Others’ Emotions 0.04 0.78 0.16 0.25 0.70 0.62
T2 Citizenship Performance
Awareness of Own Emotions 0.17 0.10 0.16 0.07 0.06 0.52
Ability to Discuss Own Emotions 0.12 0.34 0.33 0.01** 0.14 0.21
113.
Table 29 cont.
Ability to Manage Own Emotions 0.05 0.66 0.11 0.23 0.20 0.05*
Awareness of Others’ Emotions 0.15 0.19 0.13 0.16 0.14 0.16
Ability to Manage Others’ Emotions 0.23 0.07 0.24 0.02* 0.34 0.01**
T2 Interpersonal Facilitation
Awareness of Own Emotions 0.56 0.57 0.16 0.04* 0.04 0.60
Ability to Discuss Own Emotions 0.20 0.09 0.50 0.00** 0.29 0.01**
Ability to Manage Own Emotions -0.07 0.51 0.01 0.95 0.04 0.68
Awareness of Others’ Emotions 0.24 0.04* 0.13 0.13 0.16 0.09
Ability to Manage Others’ Emotions 0.24 0.05* 0.20 0.04* 0.36 0.01**
T2 Job Dedication
Awareness of Own Emotions 0.21 0.06 0.12 0.24 0.05 0.60
Ability to Discuss Own Emotions 0.04 0.78 0.15 0.20 0.02 0.90
Ability to Manage Own Emotions 0.11 0.33 0.16 0.17 0.26 0.02*
Awareness of Others’ Emotions 0.07 0.60 0.11 0.35 0.10 0.38
Ability to Manage Others’ Emotions 0.17 0.20 0.22 0.08 0.26 0.05*
T3 Citizenship Performance
Awareness of Own Emotions 0.09 0.42 0.06 0.57 -0.04 0.66
Ability to Discuss Own Emotions 0.08 0.53 0.34 0.01** 0.33 0.01**
Ability to Manage Own Emotions 0.14 0.21 0.10 0.41 0.17 0.07
Awareness of Others’ Emotions 0.09 0.49 0.01 0.90 0.19 0.04*
Ability to Manage Others’ Emotions 0.25 0.06 0.18 0.15 0.23 0.04*
T3 Interpersonal Facilitation
Awareness of Own Emotions 0.12 0.24 0.04 0.69 -0.01 0.91
Ability to Discuss Own Emotions 0.13 0.28 0.39 0.00** 0.43 0.00**
114.
Table 29 cont.
Ability to Manage Own Emotions 0.09 0.43 0.16 0.14 0.11 0.20
Awareness of Others’ Emotions 0.18 0.12 0.06 0.54 0.23 0.01**
Ability to Manage Others’ Emotions 0.23 0.07 0.17 0.15 0.21 0.03*
T3 Job Dedication
Awareness of Own Emotions 0.06 0.62 0.07 0.57 -0.05 0.61
Ability to Discuss Own Emotions 0.04 0.78 0.27 0.04* 0.23 0.08
Ability to Manage Own Emotions 0.16 0.19 0.04 0.73 0.18 0.09
Awareness of Others’ Emotions 0.01 0.91 -0.02 0.89 0.15 0.19
Ability to Manage Others’ Emotions 0.23 0.10 0.17 0.23 0.20 0.11
T1 Goal Setting
Awareness of Own Emotions 0.18 0.09 0.18 0.09 0.05 0.65
Ability to Discuss Own Emotions 0.37 0.01** 0.23 0.05* 0.21 0.11
Ability to Manage Own Emotions 0.20 0.07 0.38 0.01** 0.37 0.01**
Awareness of Others’ Emotions -0.29 0.02* -0.28 0.02* -0.26 0.03*
Ability to Manage Others’ Emotions 0.11 0.40 0.09 0.45 0.17 0.20
T1 Positive Goal Process
Awareness of Own Emotions 0.07 0.54 0.05 0.61 -0.08 0.38
Ability to Discuss Own Emotions 0.39 0.01** 0.26 0.03* 0.42 0.01**
Ability to Manage Own Emotions 0.23 0.04* 0.39 0.01** 0.38 0.00**
Awareness of Others’ Emotions -0.16 0.19 -0.22 0.05* -0.25 0.02*
Ability to Manage Others’ Emotions 0.08 0.52 0.14 0.28 0.05 0.69
T1 Negative Goal Process
Awareness of Own Emotions 0.32 0.01** 0.33 0.01** 0.28 0.01**
Ability to Discuss Own Emotions 0.13 0.30 0.06 0.68 -0.32 0.02*
115.
Table 29 cont.
Ability to Manage Own Emotions 0.03 0.78 0.16 0.24 0.16 0.19
Awareness of Others’ Emotions -0.38 0.01** -0.24 0.06 -0.14 0.26
Ability to Manage Others’ Emotions 0.10 0.45 -0.35 0.80 0.31 0.03*
T2 Goal Setting
Awareness of Own Emotions 0.23 0.04 0.21 0.05* 0.15 0.18
Ability to Discuss Own Emotions 0.01 0.95 0.17 0.17 0.12 0.37
Ability to Manage Own Emotions 0.14 0.24 0.31 0.01** 0.22 0.07
Awareness of Others’ Emotions -0.05 0.71 -0.21 0.07 -0.14 0.24
Ability to Manage Others’ Emotions 0.21 0.11 0.15 0.23 0.21 0.13
T2 Positive Goal Process
Awareness of Own Emotions 0.14 0.21 0.07 0.48 0.02 0.88
Ability to Discuss Own Emotions 0.05 0.67 0.22 0.05* 0.22 0.10
Ability to Manage Own Emotions 0.19 0.10 0.30 0.01** 0.18 0.12
Awareness of Others’ Emotions 0.01 0.95 -0.09 0.44 -0.12 0.33
Ability to Manage Others’ Emotions 0.20 0.13 0.21 0.10 0.25 0.07
T2 Negative Goal Process
Awareness of Own Emotions 0.30 0.01** 0.37 0.01** 0.32 0.01**
Ability to Discuss Own Emotions -0.08 0.56 -0.01 0.95 -0.11 0.44
Ability to Manage Own Emotions -0.02 0.86 0.20 0.11 0.20 0.10
Awareness of Others’ Emotions -0.13 0.33 -0.35 0.01** -0.13 0.28
Ability to Manage Others’ Emotions 0.15 0.29 -0.01 0.96 0.05 0.72
T3 Goal Setting
Awareness of Own Emotions 0.07 0.52 0.16 0.15 0.18 0.08
Ability to Discuss Own Emotions 0.13 0.31 0.04 0.73 0.19 0.14
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Table 29 cont.
Ability to Manage Own Emotions 0.12 0.33 0.39 0.01** 0.19 0.09
Awareness of Others’ Emotions -0.18 0.17 -0.35 0.01** -0.33 0.01**
Ability to Manage Others’ Emotions 0.26 0.06 0.19 0.16 0.32 0.02*
T3 Positive Goal Process
Awareness of Own Emotions 0.03 0.79 0.13 0.22 0.04 0.71
Ability to Discuss Own Emotions 0.18 0.16 0.02 0.90 0.28 0.03*
Ability to Manage Own Emotions 0.20 0.09 0.37 0.01** 0.22 0.04*
Awareness of Others’ Emotions -0.13 0.29 -0.24 0.05* -0.27 0.01**
Ability to Manage Others’ Emotions 0.25 0.06 0.23 0.08 0.32 0.01**
T3 Negative Goal Process
Awareness of Own Emotions 0.13 0.29 0.15 0.20 0.38 0.01**
Ability to Discuss Own Emotions 0.01 0.98 0.07 0.57 -0.04 0.76
Ability to Manage Own Emotions -0.07 0.57 0.29 0.03* 0.07 0.56
Awareness of Others’ Emotions -0.20 0.15 -0.44 0.01** -0.31 0.01**
Ability to Manage Others’ Emotions 0.18 0.21 0.04 0.75 0.21 0.13
* = p<0.05; ** = p<0.01.
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Discussion
Emotional Intelligence and Citizenship Performance
The results of the standard regressions conducted on the EI variables (IVs) and
citizenship variables (DVs) revealed several of the EI subscales to be significant
predictors of citizenship performance. ‘Ability to Manage Own Emotions’ and ‘Ability
to Manage Others’ Emotions’ were significant predictors across the three data
collections. To evaluate why citizenship performance is predicted by these EI variables,
a closer examination of the citizenship subscales will be undertaken in the following
section.
Further examination of the citizenship subscales reveals that ‘Ability to Discuss
Own Emotions’ was as a significant predictor of ‘Interpersonal Facilitation’ at Times 1,
2 and 3. ‘Interpersonal Facilitation’ consists of individual helping behaviours that assist
both themselves and others’ to achieve work-related goals (Van Scotter & Motowidlo,
1996). To facilitate this process, individuals need to engage in open dialogue to
determine the areas where assistance is required and can be given to others. Therefore,
the ability to discuss the emotions associated with problems that are being encountered
would definitely be a skill that would help to facilitate the process. Consequently, this
result is not surprising.
‘Ability to Manage Own Emotions’ also emerged as a significant predictor of
‘Interpersonal Facilitation’ at Times 1, 2 and 3. To be able to offer work colleagues
assistance on a problem that they may be having, it is important for the helper to be able
to regulate their emotions towards the situation (Grandey, 2000). When a colleague is
experiencing difficulties, the ability to remain calm and composed would be extremely
beneficial. Therefore, it is not against expectations that there would be a significant
relationship between these variables.
In addition to the management of own emotions, the subscale ‘Ability to Manage
Others’ Emotions’ predicts ‘Interpersonal Facilitation’ across the three data sets. Van
Scotter and Motowidlo (1996, p. 526) describe ‘Interpersonal Facilitation’ as helping
others’ to ‘remove barriers to performance’. Clearly, if you have the capacity to help
colleagues to calm themselves down so that they can focus on solving the problem at
hand, this would be an extremely beneficial way to remove these barriers.
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The regression results also showed that ‘Ability to Manage Own Emotions’
significantly predicted ‘Job Dedication’. As job dedication is centred upon a person’s
willingness to ‘go the extra mile’ to get their tasks completed (Motowidlo &
VanScotter, 1994; Van Scotter & Motowidlo, 1996), it makes sense that an ability to be
able to manage one’s emotional state so that the task at hand can be focused upon would
be advantageous. If intense emotions have the capacity to stifle creativity and problem
solving (Zhou & George, 2003), then having the capacity to regulate your own emotions
would enable the successful completion of tasks in a timely manner.
Finally, ‘Ability to Manage Others’ Emotions’ also predicted ‘Job Dedication’.
Having the ability to help others manage their emotions to remain focused on their
work, by creating a positive emotional environment for task completion would no doubt
help others to complete their tasks (Schutte et al., 2000), but would assist the individual
as well. When a team focuses its energies towards a task, individual motivation toward
that goal increases.
Emotional Intelligence and Goal Setting
The second set of standard regression analyses were undertaken on the EI
variables (IVs) and the goal setting variables (DVs). The results showed that both
‘Ability to Discuss Emotions’ and ‘Ability to Manage Own Emotions’ were significant
predictors of goal setting at Times 1, 2 and 3. These results demonstrate that while the
setting of goals does include the discussion of emotional issues, the ability to manage
your emotions so that the process can proceed is important.
Take the example of an employee discussing their new goals with a supervisor
during a performance review. During performance appraisals, employees are given
feedback on how they have performed, are generally asked to describe how well or
badly they feel they have performed and are then tasked with the role of setting a new
range of goals with their manager. Clearly, this example demonstrates a situation where
the discussion of both negative and positive emotions towards achieved/non-achieved
goals would occur. An employee would need to be able to accurately articulate what it
was about the goal they were aiming for that caused specific emotional reactions.
However, the ability to discuss these emotions whilst not allowing these emotions to
resurface and negatively influence the process would be extremely important (Gaudine
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& Thorne, 2001). As a result of keeping their emotions in check, the employee would
then be able to discuss how their goals should be set for the next period.
In terms of ‘Positive Goal Process’, it was found that both ‘Ability to Discuss
Own Emotions’ and ‘Ability to Manage Own Emotions’ emerged as significant
predictors. Firstly, in terms of discussing emotions, the ability to communicate clearly
how you are feeling in a goal setting situation would undoubtedly help to facilitate a
positive process. By doing this, a manager/supervisor is better able to understand the
help and provide the support that might be required to achieve the goals that are being
set. If an individual is clearly able to articulate which goals are enjoyable yet challenging
or areas where they feel emotions such as frustration or even shame (for not having the
skills required for success), managers can ensure that goals are set that are clear,
achievable and realistic for that individual and that any training or resources needed for
goal success are provided to the individual.
Secondly, the relationship between ‘Ability to Manage Own Emotions’ and
‘Positive Goal Setting’ can be explained through examining the planning and setting of
goals in a workplace situation. The process of goal setting and goal attainment involves
formulating a plan and sticking to that plan to enable the goal to be reached (Locke &
Latham, 1990). Even when things do not go exactly as planned, the ability to manage
your emotional state would enable an individual to deal with these ups and downs of the
situation.
An example of this would be an individual working towards a goal of having a
report completed and on their manger’s desk by 5.00 pm on Friday afternoon. During
the process, the individual may encounter ‘roadblocks’ that could impede their progress
(for example, their computer breaks down or vital information is not supplied as
promised by another party). Clearly, the ability to manage emotions, rather than yielding
to emotions such anger, frustration or guilt would enable the individual to remain
focused on the achievement of the goal.
Finally, the regression results uncovered a relationship between the two variables
‘awareness of Own Emotions’ and ‘Negative Goal Process’. As mentioned above,
allowing intense negative emotions to surface and remain while attempting to reach
goals would severely obstruct goal attainment. However, if these emotions are
recognized before they progress to being intense emotions (such as acknowledging mild
agitation) then they can be dealt with before the emotion becomes so intense it prevents
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the goal from being reached. Extending the example outlined above, if the individual
whose computer has just malfunctioned recognises that they are experiencing a negative
emotional response, they can then make an objective decision of whether they will let
their frustration thwart the efforts of their task or whether they should find another way
to achieve their goal without the broken computer.
Limitations
I acknowledge two limitations in the results presented in this chapter. First, panel
data has been used to examine the relationship between EI, citizenship performance and
goal setting. Although the relationship between variables has been established, these
results cannot be used to infer causality. In order to do this an intervention is required
(the results of which will be presented in Chapter Six). The second limitation is the
possibility of Common Method Variance (CMV) as data were collected from a single
source via self-report measures (Avolio, Yammarino & Bass, 1991 ; Lindell & Whitney,
2001; Meade, Watson & Kroustalis, 2007 ; Podsakoff, MacKenzie, Lee & Podsakoff,
2003; Spector, 2006). Common Method Variance can impact respondents
comprehension, information retreival, judgement, response selection and reponse
reporting in self-reports and therefore should be acknowledged at this point (Podsakoff
et al, 2003). Analysis of the panel data set suggests however, that the results are not the
product of CMV. Several procedural remedies to limit the possibility of CMV were
included at the research design stage, however additional remedies could have been
considered and put in place (see Avolio et al, 1991; Lindell & Whitney, 2001; Meade et
al, 2007; Podsakoff et al, 2003).
Podsakoff et al. (2003, p. 887) propose several ‘procedural remedies’ that can be
undertaken to reduce the impact of CMV. First, reports by others (such as peers,
supervisors or independent observers) and objective measures can be employed. Second,
the separation of measures (temporal, proximal, psychological or methodological) may
be advantageous. Third, measures that ensure the respondents’ anonymity can reduce the
occurrences of socially-desirable behaviours. Finally, the authors propose that mixing
items from differing scales within the overall measure could counter biases.
Of the four procedures proposed, the separation of measures (between survey
iterations) and respondent anonymity (use of a unique identifier) were employed within
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the studies (Podsakoff et al., 2003). Clearly, the inclusion of additional measures would
have allowed comparisons of data to be conducted; however, I acknowledge that there
are bias issues associated with alternative ratings (see Spector, 1994). With respect to
mixing the items within the survey, Peterson (2000) contends that this technique
interrupts the logical progression of the survey items. Therefore, rather than using this
method, mixed Likert-type scales (five and seven items) were used.
Chapter Summary
The results of Carmeli and Josman (2006) and Jordan et al.’s (2002) studies
demonstrate that relationships exist between EI, citizenship performance and goal focus.
However, the authors stated that further exploration of these relationships was required.
With this in mind, two research questions were proposed. The first question focused on
determining the relationship between EI and citizenship performance. The second
questioned the relationship between EI and goal setting. Although the purpose of the
research program outlined in this thesis is premised on the question of whether EI can
be trained, it is important to explore the potential outcomes that EI training may have in
other areas of organisational life. The results of this chapter suggest there is a
relationship between EI and citizenship performance, and EI and goal setting. Now that
these relationships have been established, it is appropriate to move on to test the impact
of training on these variables.
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CHAPTER SIX
A Comparison of Emotional Intelligence (Study 2) and Interpersonal Skills
(Study 3) Training on the Emotional Intelligence of Individuals
Overview
Improvements in team performance are of great interest, because there is clear
evidence that we are moving to more team structures within organisations (West, 1994).
Teams outperform individuals, because they allow individual strengths to be used while
individual weaknesses are compensated for (Brannick, Salas, & Prince, 1997). However,
to create a high level of team performance, individuals within those teams require the
ability to work together towards a common goal (West, 1994). According to the research
undertaken by Jordan and Troth (2004), EI facilitates individuals’ working relationships
and, therefore, team performance. There are other methods of improving team
performance, such as team building (Salas, Rozell, Mullen, & Driskell, 1999) and
improving IS (Dick, 1991).
This study has two aims. The first aim is to determine whether training specific
emotions-focused skills and abilities leads to an increase in the EI of individuals (Study
2). In addition, this study will examine the effect of the intervention on other constructs
and to determine if the training had more or less impact on citizenship performance and
goal setting. Despite the significant amount of research around the EI construct and an
increasing number of training courses being offered, a question still remains concerning
whether training in emotional abilities raises EI. While research has demonstrated
differences in performance in high average EI groups and low emotional average EI
groups (Jordan & Troth, 2004), other longitudinal research has proposed that differences
in performance were moderated the longer the groups worked together (Jordan et al.,
2002). What is not clear from this existing research is whether it is the development of
group skills or the actual training interventions that lead to the performance change.
Using a measure of EI in a workplace setting (Jordan et al., 2002) based on Mayer and
Salovey’s (1997) Four-branch Model of EI (awareness, understanding, facilitation and
management of own and others’ emotions), this study assesses a training program
designed to improve EI skills and abilities. A detailed description of the construction of
these skills and abilities is presented in Chapter Three.
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The second aim of this chapter is to examine the impact of training in IS on EI,
citizenship performance and goal setting of the participants (Study 3). Upon taking a
closer look at many of the EI training programs being offered to organisations, it is easy
to understand why academic researchers have become sceptical about their success.
First, few of these interventions are justified on theoretical grounds (Palmer et al.,
2001). Second, a number of these interventions actually involve training a suite of IS,
which, while linked to emotions, are not predicated on emotion (Jordan et al., 2009). In
this study, I contend that while improvements in IS (such as supportive communication,
conflict resolution and goal setting) may enhance the performance of individuals and
teams, this type of training will not affect the EI of the participants.
The Training Programs
The emotions-focused training and IS training programs were both conducted in
the same organisation as the normative group data collection presented in Study 1
(Chapters Four and Five). The EI training intervention was constructed by focusing on
the skills relating to EI that were outlined in Chapter Three of this thesis. The IS
intervention was constructed by incorporating supportive communication (Carlopio et
al., 1997), conflict resolution (Thomas & Kilmann, 1974) and goal setting skills (Locke
& Latham, 1990). The framework for both training programs was that of an experiential
intervention (Kolb, 1984). Emotional Intelligence training was undertaken with teams
during two full days of training, followed two weeks later by a half-day follow-up
training session. The IS training was facilitated with teams over one full day, followed
by a half-day refresher approximately two weeks later.
Each training session had at least two facilitators present, and, in most cases,
three. To ensure consistency in training content and delivery, I undertook the role of
primary facilitator and was present at every training session. I was assisted by either one
or two facilitators from a wider team of eight facilitators. Each facilitator had extensive
experience in the training and development of adult learners. The facilitators were
rotated, based on their availability. However, the same facilitators were always present
at both the full day of training and the half-day follow-up.
Surveys were distributed for completion by the participants prior to the
commencement of the training intervention (pre-test) and at the follow-up session two
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weeks later (post test). On the first day of training, the individuals were assigned into
teams that would remain together for the duration of the training. These teams either
mirrored the organisational work teams (intact teams) or a random selection from the
wider training group (ad-hoc training teams, but from the same organisational unit) and
comprised between four and six members. Full details of the content of the EI program
are presented in Appendices B and C. Details of the IS training program are presented in
Appendices D and E.
Hypothesis Development – Emotional Intelligence Training
To progress our understanding of this area, a series of hypotheses will be
empirically tested within this chapter. As mentioned in the review of the literature, there
is still some contention whether EI is a crystallised or fluid intelligence (see: Cooper &
Sawaf, 1997; Mayer et al., 2000). Because crystallized intelligence relates to acquired
knowledge (Farrelly & Austin, 2007), in this thesis I am operating on the assumption
that EI is a crystallised intelligence. Other researchers working in the field of EI have
supported this particular hypothesis (see Ashkanasy & Daus, 2005; Davies et al., 1998;
Jordan & Ashkanasy, 2008; Mayer & Salovey, 1997). The results of a recent study by
Farrelly & Austin (2007) provide evidence for this hypothesis.
As organisations move toward understanding and improving the relational nature
of work, individuals within these organisations will be expected to follow suit.
Emotional Intelligence abilities are increasingly being seen as valuable skills that can be
improved to achieve these outcomes (Caruso & Salovey, 2004; Cherniss & Adler,
2000). However, the issue at present is a lack of empirical research examining the
efficacy of training EI within organisations. Because this issue provides the basis of this
research program, the first broad hypothesis this study seeks to test is:
Hypothesis 1: Training interventions based on EI skills and abilities will
increase individual EI.
In addition to determining the impact of these interventions on overall EI, it is
essential to determine how each separate branch of EI is impacted by the activities
within the training. To gain a greater insight into these relationships, more detailed
hypotheses are required. The following hypotheses are presented sequentially, according
to their relationship to the four branches of EI. In particular, these hypotheses relate
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directly to the specific work skills and abilities that have been highlighted in Chapter
Three as being associated with Mayer and Salovey’s four-branch model of EI. In
addition, each hypothesis has been constructed in keeping with Jordan et al.’s (2002)
WEIP-6 scale and its relationship to the four-branch model of EI.
Awareness of Emotions
A skill that I hypothesise can be improved to increase an individual’s awareness of
their own and others’ emotions is reflection on experienced emotions (Caruso &
Salovey, 2004). Reflecting back on situations where both positive and negative
emotions are experienced and reflecting upon the impact of these emotions on the
behaviour of self and others enables individuals to build their awareness of emotions.
Morgan and Dennehy (1997) state that, through a process of sharing these thoughts and
feelings with others through processes such as storytelling, a greater awareness of the
impact of own emotional reactions on others can be achieved. Currently, skills in this
area being successfully trained in the psychotherapy field through the use of cognitive-
behavioural therapy (CBT) and emotion-focused therapy (EFT) (Greenberg, 2008).
The facial expressions of an individual are highly informative (Ekman, 1993,
1999; Ekman & Friesen, 1975). Even if an individual is trying to hide their emotions,
Ekman (1997) argues that often their micro and subtle facial expressions will alert us to
the real emotions being experienced beneath the surface. Therefore, training individuals
to recognise and correctly interpret micro and subtle facial expressions will increase
their self-awareness and provide them with the skills to identify and act upon these
expressions displayed by others.
In addition to facial expressions, body gestures and body language can provide us
with valuable information about the emotions that an individual is experiencing
(Planalp, 1999; Planalp et al., 1996). It is proposed that training individuals in the
understanding of body gestures and language will therefore increase their EI by
enhancing the individual’s ability to correctly identify emotions in others. Based on the
above, I therefore hypothesise that:
Hypothesis 2: Training a set of skills to build awareness of emotions will
increase an individual’s:
a. Awareness of own emotions, and;
126.
b. Awareness of others’ emotions.
Facilitation of Emotions
Perspective taking, according to Davis (1984), entails an individual’s ability to see
a situation from another’s point of view. In this way, the individual is able to identify
the emotions that the other person is experiencing and use this information to generate
appropriate emotions designed to manage the interaction (Parker & Axtell, 2001).
Through increasing perspective-taking abilities, it is proposed that individuals’ ability to
tune into a situation and their ability to generate emotions appropriate to that situation
will be increased (Planalp, 1999). Tuning in to the emotions of others requires an
individual to connect with the emotions the other person is experiencing at a particular
time (Planalp, 1999).
In addition, an area of increasing interest in emotions research in organisations is
the concept of emotional contagion. Emotional contagion refers to encouraging others to
adopt emotions that are deemed to be useful to improve performance at work (Kelly &
Barsade, 2001). Recognising emotional triggers and determining ways in which these
can be used to encourage others to adopt a specific emotion for a given situation
increases an individual’s ability to facilitate emotion (Caruso & Salovey, 2004).
Finally, both stories (Morgan & Dennehy, 1997) and music (Wilder, 1996) are
significant methods used by leaders to generate emotion in their employees. Clearly,
understanding the power of these methods is vital to the success of individuals who are
trying to facilitate emotion. Based on this, it is hypothesised that:
Hypothesis 3: Training in techniques to facilitate emotions will increase an
individual’s ability to manage others’ emotions.
Understanding Emotions
According to George (2000), emotionally-intelligent individuals understand the
causes and the consequences of their own emotions, and can use this knowledge to
understand how the emotions of others can change over time. When individuals
experience an intense emotional reaction to a situation, the ability to understand what
has happened, and the emotional ‘triggers’ that have led to the emotional reaction, can
equip individuals with the skills to describe the emotions they are experiencing (Caruso
127.
& Salovey, 2004). Additionally, knowledge and understanding of emotional
progressions and triggers can assist individuals to discuss their emotions with others.
Knowledge of positive and negative emotional cycles also increases individual
skills and abilities in terms of understanding their own emotions. James (2002) states
that when an individual is in a positive emotional cycle, feelings of self-confidence and
enthusiasm lead to optimistic and realistic thinking. This leads the individual to behave
in self-enhancing and team-enhancing ways. The realisation that individuals exhibit
similar emotional reactions to change will assist in training the participants to describe
the emotions they are experiencing (Danes, 2005; Kubler-Ross, 1973). Therefore, it is
proposed that:
Hypothesis 4: Training in understanding the causes and consequences of
emotions will increase individuals’ ability to discuss their own
emotions.
Managing Emotions
The ability to cope with and regulate emotions is considered by many to be a key
determinant of EI (see Salovey et al., 2000). However, there is no ‘one size fits all’
strategy that can work for every individual (Ashkanasy et al., 2004). Although
individuals engage in similar life activities (such as work, family, social, spiritual,
physical, intellectual and cultural activities), the management and balance of these
activities is unique to every individual. Appropriate training in how to manage
emotional reactions would provide individuals with the ability to enact their own coping
and life balance strategies.
According to Fitness (2000), disconnecting from anger in the workplace can help
to prevent dysfunctional conflict and assist in the prevention of negative relationships.
In a similar view, Barlow and Maul (2000) propose that connecting with emotions in a
functional manner in a customer service environment increases customer satisfaction
and retention, and enhances employee well-being and employee retention. Therefore,
training interventions designed to provide individuals with the skills to disconnect and
connect with their emotions will undoubtedly enhance their ability to regulate their
emotions. Based upon this research it is proposed that:
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Hypothesis 5: Training interventions focusing on the management and
regulation of emotion will individuals’ ability to manage their
own emotions.
Citizenship Performance
Van Scotter and Motowidlo (1996) contend that citizenship performance is
comprised of interpersonal facilitation and job dedication facets. Interpersonal
facilitation refers to ‘deliberate acts that improve morale, encourage cooperation,
remove barriers to performance, or help co-workers perform their task-oriented job
activities’ (Van Scotter & Motowidlo, 1996: 526). Job dedication on the other hand, is
concerned with behaviours related to self-discipline, such as working hard, following
organisational rules and regulations, and using initiative to solve work-related problems
(Van Scotter & Motowidlo, 1996). Because research has shown that a high individual EI
leads to improved working relationships (Mayer & Salovey, 1997) and commitment
within organisations (Wong & Law, 2002; Carmeli and Josman; 2006), I also propose
that:
Hypothesis 6: Training work teams in EI skills and abilities will improve
citizenship performance.
It should be noted, however, that the training program has been specifically
designed around the provision of emotions-focused skills. Therefore, I expect any
increase in citizenship performance will be an ancillary outcome of the training
program.
Goal Setting
In addition to the links between EI and citizenship performance, this study seeks
to determine the links between EI and goal setting. Research shows that emotions play a
large role in an individual’s perception of goal accessibility and goal attainment
(Higgins, Shah, & Friedman, 1997). Goal attainment leads to joy, satisfaction, relief and
calm; whereas, non-attainment can produce emotions such as anger, guilt and shame
(Fishbach, Shah, & Kruglanski, 2004). Individuals with a high positive affect experience
more intense positive emotions when they attain a goal. Those with a high negative
affectivity feel more intense negative emotions when they do not achieve their goal
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(Marshall & Brown, 2006). With this being the case, the link between emotion and goal
setting is apparent. It is therefore hypothesised that:
Hypothesis 7: Training in EI skills will increase the overall goal setting skills of
individuals.
As with the hypotheses related to citizenship performance, I expect any increase in
goal setting will be a supplementary outcome of the emotions focused training program.
Hypothesis Development – Interpersonal Skills Training
Citizenship Performance
Werner (2000) proposes that for organisational citizenship behaviours to increase
within organisations, employees require training and development in task skills and IS,
including conflict resolution. Werner (2000:12) argues that the development of IS
enhances citizenship performance through increasing the employees understanding of
‘how their work fits into the bigger organisational picture, and how spontaneous acts on
their part may help other employees to conduct their work more effectively’. The author
also states that more research should be undertaken to uncover the relationships between
citizenship performance and IS.
Based on the outline presented above, I propose that the citizenship performance
skills of interpersonal facilitation and job dedication can be improved through training
work teams in IS. As discussed previously, interpersonal facilitation refers to the
cooperative, considerate and helpful acts that assist co-workers’ performance (Borman
& Motowidlo, 1993). Job Dedication, on the other hand, includes self-disciplined,
motivated acts such as working hard, taking initiative, persistence and following rules to
support the objectives of the organisation (Motowidlo & Van Scotter, 1994; Van Scotter
& Motowidlo, 1996).
Research has demonstrated that both interpersonal facilitation and job dedication
are linked to improved work performance (see Podsakoff & MacKenzie, 1994;
Podsakoff, Ahearne & MacKenzie, 1997; Walz & Niehoff, 1996). Further research has
linked these dimensions to increased job satisfaction, organisational commitment and
reduced turnover intentions (Van Scotter, 2000). Therefore, in relation to performance, I
offer the following hypothesis:
130.
Hypothesis 8: Training work teams in basic IS will lead to increases in overall
citizenship performance.
Goal Setting
Research has shown that individuals are more motivated towards reaching goals
when they are specific, yet challenging, accepted by the individual, the individual
participated in the setting of these goals and that there is feedback available to the
individual during the process in setting their goals (Locke & Latham, 1990). In addition,
an increase in goal setting skills can lead to improved self-efficacy for individuals and
teams, and individual and interpersonal effectiveness (Gist, Stevens, & Bavetta, 1991;
Gibson, 2001). Conversely, through training IS and goal setting during the intervention,
an increase in the aspects of Locke and Latham’s (1984, 1990) goal setting theory is
proposed. Therefore, it is hypothesised that:
Hypothesis 9: Training in basic IS (including goal setting) will increase the
goal setting skills of individuals.
Emotional Intelligence
While I propose that IS training will increase citizenship performance and the goal
setting of work teams, IS development is centred upon increasing basic communication,
conflict resolution and goal setting skills. Although these skills have links to emotion,
they do not include specific emotion-focused interventions. While acknowledging that
this type of training is often offered to increase EI (Cadman & Brewer, 2001), I consider
that training in a range of IS will not increase EI, because these interventions do not
sufficiently focus upon increasing awareness, facilitation, understanding and
management of own and others emotions (Mayer & Salovey, 1997). Therefore, with
regards to EI, I hypothesise that:
Hypothesis 10: Training in basic IS will not lead to significant increases in the
overall EI of participants.
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Method
Emotional Intelligence Sample
At the pre-test, the EI experimental group consisted of 264 employees who
attended training in emotions-focused skills. Of these participants, 245 completed the
‘Emotions in the Workplace’ survey prior to the commencement of training. In terms of
demographics, this group had an average age of 42.6 years (ranging from 19 to 63 years)
with 44.9% being female. One hundred and eighty-eight employees returned for the
half-day follow-up training. The use of a unique identifier within the surveys enabled
161 responses to be matched.
Emotional-intelligence training participants ranged from 19–61 years (M=43.03,
SD=10.43), with 42.9% female participants. A total of 141 participants were full-time
employees (87.6%), contract workers accounted for 4.3% (seven participants), casual
workers (3.7%; six participants), temporary full-time (3.1%; five participants) and
permanent part-time (1.2%) accounted for 1.3% of the sample.
In terms of employment classification, 112 of the participants (69.5%) were
employed in administrative roles, 21 classed themselves as professionals (13.0%), 15
were employed in technical roles (9.1%), six classed themselves as construction workers
(3.7%), two classed themselves as senior managers (1.2%) and five did not specify a
role (3.4%). Looking more closely at the administrative staff, 44 (27.3%) held lower-
level roles, 48 (35.4%) were employed in mid-level roles, and 20 (11.2%) were
employed in senior administrative roles. Three (1.9%) professional staff were employed
in lower-level roles, and the remaining 18 professional staff (11.1%) classified
themselves as holding mid-level roles. Of the technical staff, four held lower-level
(2.4%) and 11 held mid-level positions (6.7%). Finally, five construction workers were
employed in mid-level roles (3.1%), and one (0.6%) classified himself/herself as a
senior construction worker.
Emotional Intelligence Training Procedure
As outlined earlier, the emotions-focused training program consisted of two full
days training followed approximately two weeks later by a half-day follow-up and
refresher session. Many of the two-day training programs were conducted as residential
programs to enable discussions and activities to be undertaken in the evenings. The
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programs not conducted in a residential format were undertaken away from the
participant’s usual workplace, in a neutral location. Each training program was led by
one primary facilitator (myself) with either one or two co-facilitators present. The same
facilitation team then attended the follow-up session two weeks later to ensure
consistency. Each of these facilitators had broad experience in training adult learners. In
total, a team of eight facilitators were used for the training.
Prior to participants attending the training, surveys were distributed together with
an information sheet containing details of the project and a reply-paid envelope, so that
the participants could mail their responses directly back to the University. Participants
were informed that no individual data would be disclosed and that feedback would be
supplied to their organisation in aggregate form only.
Returned surveys were analysed to give the team and individuals feedback on the
outcomes of the survey during the training. Aggregated data were fed back to the whole
team on the first day of training. Individuals were able to collect a personalised report,
recognisable only through the use of a unique identifier (see Appendix I for an
example). Individual reports contained information regarding their own survey scores
compared to their training team and the normative group of respondents discussed in
Chapters Four and Five.
Interpersonal Skills Training Sample
Seven interpersonal training programs were conducted with 108 participants
completing the first day of the training. The second data collection was conducted
approximately two weeks after participating in the training programs. At this time, 81
participants returned for the follow-up session and completed the ‘Emotions in the
Workplace’ survey. Interpersonal skills training participants ranged from 18–61 years
(M=40.01, SD=10.09), with 44.4% female and 55.4% male participants. A total of 66
participants were full-time employees (81.5%), contract workers accounted for 7.4%
(six participants) of the sample; permanent part-time (six participants) and temporary
full-time (six participants) represented 3.7% of the sample respectively, with the
remaining participants being casual (two, 2.5%) and secondment (one, 1.2%).
In terms of employment classification, 57 of the participants (70.4%) were
employed in administrative roles, 10 classed themselves as professionals (12.3%), seven
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were employed in technical roles (8.6%), senior managers (three) and those that did not
specify a role (three) accounted for 3.7% respectively; and finally, one participant
classified himself/herself as holding a construction role (1.2%). Looking more closely at
the administrative staff, 13 (16%) of held lower level roles, 31 (38.2%) were employed
in mid-level roles, and 12 (14.8%) were employed in senior administrative roles. All 10
professional staff were employed in lower level roles. Finally, the seven technical staff
held lower level (1.2%) and mid-level (8.5%) positions.
Interpersonal Skills Training Procedure
IS training was facilitated in one day, consisting of three separate sections. The
half-day follow up was then conducted over two sessions approximately two weeks
later. Surveys were distributed for completion by participants at both the initial training
day prior to the training intervention commencing (pre-test) and at the follow-up session
two weeks later (post test). On the first day of training, individuals were assigned into
teams that would remain together for the duration of the training. These teams either
mirrored the organisational work teams (intact teams) or a random selection from the
wider training group (ad-hoc training teams), and comprised between four and six
members. Participants were assigned randomly to 21 training groups for the duration of
the training. Details of the content of the program are presented below, with a complete
description of the training and a set of training materials presented in Appendices D and
E.
The training intervention was constructed specifically for the purpose of this
research and comprised a range of IS as prescribed by Dick (1991). Three areas of
supportive communication, conflict resolution and goal setting (Carlopio et al., 1997;
Locke & Latham, 1990; Locke, Shaw, Saari, & Latham, 1981; Ruble & Thomas, 1976)
formed the basis of the one-day intervention. The framework for the training was
provided in the form of experiential interventions (Kolb, 1984).
As with the EI training, each training session had at least two facilitators present,
and in some cases three. To ensure consistency in training content and delivery, a
consistent primary facilitator was present at each training session (myself). One or two
facilitators from a wider team of eight facilitators assisted the primary facilitator. Each
facilitator had extensive experience facilitating and training IS to adult learners. These
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facilitators were then rotated, whilst ensuring that the same facilitators were present at
both the full day of training and the half-day follow-up conducted two weeks later.
Measures
Participants in both training programs completed the 86-item ‘Emotions in the
Workplace’ survey. Because this is the same survey that was used for data collection in
the normative group study presented in Chapters Four and Five, item descriptions and
Cronbach’s Alphas will not be repeated. The full details of the survey are contained
within Chapter Four of this thesis and a copy of the ‘Emotions in the Workplace’ survey
is contained in Appendix G.
Data Screening and Cleaning
Prior to conducting analysis on the pre-training and post-training data sets, all data
were examined through the use of various SPSS for Windows version 15.0 programs to
determine accuracy of data entry, missing values and the fit between distributions. In
addition, data were checked for outlying cases and the relevant items were transformed.
All analyses were undertaken using SPSS for windows version 15.0.
Results
Means, Standard Deviations, Reliabilities and Correlations – Emotional
Intelligence Training
The means, standard deviations, Cronbach’s alpha reliability coefficients and
inter-item correlations for the 24-item EI Scale at Time 1 and Time 2 are presented in
Tables 30 and 31. Reliability coefficients are within acceptable range and inter-item
correlations are within the medium to large range (Cohen, 1988).
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Table 30 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – EI Training (Time 1, 24 items, n=161)
Mean (S.D.) 1 2 3 4 5 6
1. Emotional Intelligence (Total)
4.88 (0.66) ((0.89)
2. Awareness of Own Emotions
5.15 (1.02) 0.53** (0.66)
3. Ability to Discuss Own Emotions
4.35 (1.15) 0.79** 0.27** (0.82)
4. Ability to Manage Own Emotions
5.34 (0.76) 0.73** 0.37** 0.47** (0.77)
5. Awareness of Others’ Emotions
4.75 (0.82) 0.80** 0.30** 0.49** 0.39** (0.80)
6. Ability to Manage Others’ Emotions
4.72 (0.93) 0.75** 0.19* 0.59** 0.42** 0.54** (0.81)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Table 31 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – EI Training (Time 2, 24 items n=161)
Mean (S.D.) 1 2 3 4 5 6
1. Emotional Intelligence (Total)
5.00 (0.67) (0.92)
2. Awareness of Own Emotions
5.15 (0.98) 0.62** (0.64)
3. Ability to Discuss Own Emotions
4.60 (1.15) 0.81** 0.37** (0.88)
4. Ability to Manage Own Emotions
5.36 (0.68) 0.74** 0.41** 0.47** (0.76)
5. Awareness of Others’ Emotions
4.90 (0.83) 0.86** 0.43** 0.59** 0.47** (0.86)
6. Ability to Manage Others’ Emotions
4.93 (0.84) 0.80** 0.38** 0.59** 0.51** 0.63** (0.76
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Tables 32 and 33 present the reliability coefficients and inter-item correlations for
the 13-item Citizenship Rating Scale at Time 1 and Time 2 data (pre- and post-training).
Again, the reliability coefficients and inter-item correlations are within acceptable
ranges (Cohen, 1988).
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Table 32 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – EI Training (Time 1, n=161)
Mean (S.D.) 1 2 3 1. Citizenship Performance (Total) 4.02 (0.43) (0.82) 2. Interpersonal Facilitation 4.10 (0.51) 0.73** (0.77) 3. Job Dedication 3.97 (0.52) 0.91** 0.38** (0.80)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Table 33 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – EI Training (Time 2, n=161)
Mean (S.D.) 1 2 3 1. Citizenship Performance (Total) 3.98 (0.39) (0.82) 2. Interpersonal Facilitation 4.01 (0.47) 0.76** (0.76) 3. Job Dedication 3.96 (0.46) 0.91** 0.43** (0.78)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Finally, the pre- and post-training means, standard deviations, Cronbach’s Alpha
reliability coefficients and inter-item correlations for the 24-item Goal Setting Scale are
presented in Tables 34 and 35. An examination of the two tables demonstrate the
reliability coefficients and inter-item correlations are acceptable (Cohen, 1988).
Table 34 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – EI Training (Time 1, 24 items, n=161)
Mean (S.D.) 1 2 3 1. Goal Setting Total 3.63 (0.61) (0.92)
2. Positive Goal Achievement Process
3.65 (0.69) 0.95** (0.91)
3. Negative Goal Achievement Process
3.59 (0.64) 0.82** 0.60** (0.82)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Table 35 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – EI Training (Time 2, 24 items, n=161)
Mean (S.D.) 1 2 3
1. Goal Setting Total 3.66 (0.54) (0.91)
2. Positive Goal Achievement Process
3.70 (0.64) 0.93** (0.91)
3. Negative Goal Achievement Process
3.60 (0.59) 0.76** 0.48** (0.78)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
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Means, Standard Deviations, Reliabilities and Correlations – Interpersonal
Skills Training
In line with the EI training results, data were analysed using SPSS for Windows
version 15.0. Tables 36-41 present the means, standard deviations, Cronbach’s Alpha
reliability coefficients and the inter-item correlations for the EI Scales, Citizenship
Rating Scale and Goal Setting Scale pre- and post-training data collections. As can be
seen, the reliability coefficients are within an acceptable range and the inter-item
correlations, as expected, are within the medium to large range (Cohen, 1988).
Table 36 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – IS Training (Time 1, 24 items, n = 81)
Mean (S.D.) 1 2 3 4 5 6
1. Emotional Intelligence (Total)
4.74 0.74 (0.92)
2. Awareness of Own Emotions
5.11 1.07 0.73** (0.66)
3. Ability to Discuss Own Emotions
4.07 1.30 0.84** 0.50** (0.87)
4. Ability to Manage Own Emotions
5.19 0.78 0.77** 0.56** 0.48** (0.77)
5. Awareness of Others’ Emotions
4.74 0.85 0.85** 0.41** 0.61** 0.56** (0.84)
6. Ability to Manage Others’ Emotions
4.48 0.89 0.70** 0.53** 0.62** 0.38** 0.46** (0.75)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
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Table 37 Descriptive Statistics, Coefficient Alphas, and Correlations among WEIP-6 Scale and Subscales – IS Training (Time 2, 24 items n = 81)
Mean (S.D.) 1 2 3 4 5 6
1. Emotional Intelligence (Total)
4.86 0.66 (0.91)
2. Awareness of Own Emotions
5.02 0.97 0.86** (0.58)
3. Ability to Discuss Own Emotions
4.40 1.07 0.77** 0.26* (0.86)
4. Ability to Manage Own Emotions
5.27 0.75 0.79** 0.36** 0.52** (0.83)
5. Awareness of Others’ Emotions
4.79 0.82 0.86** 0.45** 0.54** 0.57** (0.82)
6. Ability to Manage Others’ Emotions
4.70 0.83 0.74** 0.34** 0.54** 0.45** 0.56** (0.79)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Table 38 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – IS Training (Time 1, n = 81)
Mean (S.D.) 1 2 3
1. Citizenship Performance (Total) 3.94 0.47 (0.88)
2. Interpersonal Facilitation 3.90 0.53 0.77** (0.77)
3. Job Dedication 3.96 0.56 0.93** 0.47** (0.89)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Table 39 Descriptive Statistics, Coefficient Alphas, and Correlations among Citizenship Scale and Subscales – IS Training (Time 2, n = 81)
Mean (S.D.) 1 2 3
1. Citizenship Performance (Total) 3.96 0.45 (0.88)
2. Interpersonal Facilitation 3.99 0.49 0.82** (0.78)
3. Job Dedication 3.94 0.50 0.94** 0.56** (0.85)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Table 40 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – IS Training (Time 1, 24 items, n = 81)
Mean (S.D.) 1 2 3 1. Goal Setting Total 3.60 0.54 (0.88) 2. Positive Goal Achievement Process 3.60 0.67 0.92** (0.90)
3. Negative Goal Achievement Process
3.62 0.61 0.67** 0.32** (0.78)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
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Table 41 Descriptive Statistics, Coefficient Alphas, and Correlations among Goal Setting Scale and Subscales – IS Training (Time 2, 24 items, n = 81)
Mean (S.D.) 1 2 3
1. Goal Setting Total 3.61 0.52 (0.91)
2. Positive Goal Achievement Process 3.60 0.60 0.93** (0.90)
3. Negative Goal Achievement Process
3.61 0.58 0.78** 0.50** (0.80)
* = p<0.05; ** = p<0.01, Cronbach’s Alpha Reliabilities on the diagonal
Repeated Measures MANOVA
Prior to conducting the repeated measures ANOVAS on the EI and IS data a 2 x 3
repeated measures MANOVA, with two within-person levels (pre- and post-training)
and three between-person levels (normative, EI and IS training groups) were conducted.
These analyses test whether there are main effects for the different groups within this
study and whether the interaction between these three variables is significant (Pallant,
2007). Tables 42, 43, and 44 present the full results of these analyses.
Table 42 Repeated Measures MANOVA Interaction Effects (Within-subjects – All Groups) for Citizenship, EI and Goal Setting including Wilks’ Lambda, F-Statistics, Significance and Effect Sizes (η2)
Wilks’ Lambda
F (df) p η2
Emotional Intelligence (Total) 0.97 9.20 (1,327) 0.01** 0.03
Awareness of Own Emotions 0.99 3.50 (1,327) 0.06 0.01
Ability to Discuss Own Emotions 0.93 25.85 (1,327) 0.00** 0.07
Ability to Manage Own Emotions 1.00 0.01 (1,327) 0.94 0.00
Awareness of Others’ Emotions 0.99 4.67 (1,327) 0.03* 0.01
Ability to Manage Others’ Emotions 0.93 23.60 (1,327) 0.00** 0.07
Citizenship Performance (Total) 0.99 0.31 (1,327) 0.58 0.01
Interpersonal Facilitation 0.99 0.23 (1,327) 0.63 0.01
Job Dedication 0.99 0.19 (1,327) 0.67 0.01
Goal Setting (Total) 0.99 2.75 (1,327) 0.10 0.01
Positive Goal Attainment 0.99 1.93 (1,327) 0.17 0.01
Negative Goal Attainment 0.99 1.54 (1,327) 0.22 0.01
* = p<0.05; ** = p<0.01
First, significant within-subjects interaction effects were uncovered between
‘Total EI’, ‘Awareness of Own Emotions’, ‘Discuss Own Emotions’, Awareness of
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Others’ Emotions’, and ‘Ability to Manage Others’ Emotions’. Second, in terms of
within-subjects main effects, only interpersonal facilitation emerged as significant.
Finally, the main effects resulting from a comparison of the three different groups
(between-subjects) was significants for ‘Ability to Discuss Own Emotions’, ‘Ability to
Manage Others’ Emotions’, and ‘Interpersonal Facilitation’.
Table 43 Repeated Measures MANOVA Effects for Time (Within-subjects – All Groups) for Citizenship, EI and Goal Setting including Wilks’ Lambda, F-Statistics, Significance and Effect Sizes (η2)
Wilks’ Lambda
F (df) p η2
Emotional Intelligence (Total) 0.99 0.79 (2,327) 0.46 0.01
Awareness of Own Emotions 0.99 1.47 (2,327) 0.23 0.01
Ability to Discuss Own Emotions 0.99 0.17 (2,327) 0.85 0.01
Ability to Manage Own Emotions 0.99 1.57 (2,327) 0.21 0.01
Awareness of Others’ Emotions 0.99 0.61 (2,327) 0.55 0.01
Ability to Manage Others’ Emotions 0.99 0.38 (2,327) 0.68 0.01
Citizenship Performance (Total) 0.99 0.92 (2,327) 0.40 0.01
Interpersonal Facilitation 0.98 3.93 (2. 327) 0.02* 0.02
Job Dedication 0.99 0.12 (2, 327) 0.89 0.01
Goal Setting (Total) 0.99 0.71 (2,327) 0.49 0.01
Positive Goal Attainment 0.99 0.28 (2,327) 0.76 0.01
Negative Goal Attainment 0.99 1.47 (2,327) 0.23 0.01
* = p<0.05; ** = p<0.01
Table 44 Repeated Measures MANOVA Main Effects for Groups (Between-subjects – All Groups) for Citizenship, EI and Goal Setting including Significance and Effect Sizes (η2)
F (df) p η2
Emotional Intelligence (Total) 2.39 (2,327) 0.09 0.01
Awareness of Own Emotions 0.29 (2,327) 0.75 0.01
Ability to Discuss Own Emotions 3.06 (2,327) 0.05 0.02
Ability to Manage Own Emotions 1.44 (2,327) 0.24 0.01
Awareness of Others’ Emotions 0.70 (2,327) 0.50 0.01
Ability to Manage Others’ Emotions 3.48 (2,327) 0.03* 0.01
Citizenship Performance (Total) 2.84 (2,327) 0.06 0.02
Interpersonal Facilitation 6.17 (2,327) 0.01** 0.04
Job Dedication 0.79 (2,327) 0.46 0.01
Goal Setting (Total) 0.17 (2,327) 0.84 0.01
Positive Goal Attainment 0.55 (2,327) 0.58 0.01
Negative Goal Attainment 0.24 (2,327) 0.79 0.01
* = p<0.05; ** = p<0.01
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Results – Emotional Intelligence Training
Test-Retest Results
Repeated Measures ANOVA
A series of repeated measures ANOVAs using EI, citizenship performance and
goal setting (including their respective subscales) as dependent variables and time (Time
1 and Time 2 data collections) for the within-subjects factors were conducted. This
analysis was conducted to determine whether any statistically significant changes
occurred from pre- to post-training. As with the results presented in Chapters Four and
Five, the Wilks’ Lambda criterion was chosen for the analysis, because it is the most
commonly-reported ANOVA statistic in the social sciences (Pallant, 2005). The results
of the repeated measures ANOVAs are presented in Table 45 and will be explained in
the following section.
Emotional Intelligence
Table 45 presents the results of the repeated measures ANOVAs undertaken to
ascertain changes in the self-reported EI from pre-training to post-training. Significant
increases were found in the total EI. The measurement of Cohen’s d also revealed small
effect sizes for the EI. Based on these results, Hypothesis 1 is supported. In terms of
‘Awareness of Own Emotions’, there were no significant increases from pre-to post-
training that reveal that Hypothesis 2a is not supported. On the other hand, the subscales
‘Awareness of Other’s Emotions’ did increase significantly, demonstrating a small
effect size, thus supporting Hypothesis 2b. The results were also positive for the
subscale ‘Ability to Manage Others’ Emotions’ with a statistically significant increase
and a small effect size resulting from the analyses. Based on these results, Hypothesis 3
is therefore supported. ‘Ability to Discuss Emotions’ also significantly increased (with a
small effect size) as a result of the training provided, thus supporting Hypothesis 4.
Finally, the subscale ‘Ability to Manage Own Emotions’ did not show an improvement
between pre- and post-training surveys as was expected. Therefore, Hypothesis 5 is not
supported.
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Table 45 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting Repeated Measures ANOVAs (EI Training, n = 161)
Wilks’ Lambda
F (df) p d
Emotional Intelligence (Total) 0.95 9.32 (1,161) 0.01** 0.18
Awareness of Own Emotions 1.00 0.01 (1,161) 0.95 0.00
Ability to Discuss Own Emotions 0.93 12.39 (1,161) 0.01** 0.22
Ability to Manage Own Emotions 0.99 0.29 (1,161) 0.59 0.03
Awareness of Others’ Emotions 0.96 6.73 (1,161) 0.01** 0.18
Ability to Manage Others’ Emotions 0.91 16.72 (1,161) 0.00** 0.24
Citizenship Performance (Total) 0.99 2.42 (1,161) -0.12 -0.10
Interpersonal Facilitation 0.96 6.34 (1,161) -0.01** -0.18
Job Dedication 1.00 0.17 (1,161) -0.68 -0.02
Goal Setting (Total) 0.99 1.56 (1,161) 0.21 0.05
Positive Goal Attainment 0.99 2.43 (1,161) 0.12 0.08
Negative Goal Attainment 1.00 0.45 (1,161) 0.83 0.02
* = p<0.05; ** = p<0.01
Citizenship Performance
Table 45 also provides the results of the repeated measures ANOVAs and the
effect size calculations conducted on the citizenship performance scales. The results
demonstrate no significant changes in overall citizenship performance and the ‘Job
Dedication’ subscale. The calculations of the effect sizes (Cohen’s d) further support
these results with effect sizes falling below the cut-off for a small effect for overall
citizenship performance and ‘Job Dedication’. Interestingly, there was a statistically
significant decrease in the ‘Interpersonal Facilitation’ subscale from pre-training (M =
4.10, SD = 0.51) to post-training [M = 4.01, SD = 0.47; t (160) = -2.51, p = 0.01] with
an effect size of (d = -0.18). Based on these results Hypothesis 6 is not supported.
Goal Setting
Finally, Table 45 also presents the results of the repeated measures ANOVAs and
effect size calculations for the pre- and post-measures of goal setting. As can be seen,
there were no significant changes in either the total goal setting scale or the related
subscales from pre-training to post-training. Additionally, the results of the effect size
calculations reflect no changes in overall goal setting or the two subscales of positive
goal process and negative goal process measured pre- and post-training. Based on these
findings, Hypothesis 7 is not supported.
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Results – Interpersonal Skills Training
Test-Retest Results
Repeated Measures ANOVA
To test the four hypotheses outlined earlier, a series of repeated measures
ANOVAs with planned comparisons using citizenship performance, EI and goal setting
(including their respective subscales) as dependent variables and time (pre- and post-
training data collections) for the within-subjects factors were conducted. This analysis
was conducted to determine whether any statistically significant changes occurred from
pre- to post-training. The results of the repeated measures ANOVAs are presented in
Table 46.
Table 46 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship, EI and Goal Setting Repeated Measures ANOVAs (IS Training, n = 81)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 1.00 0.35 (1,80) 0.56 0.04
Interpersonal Facilitation 0.96 3.42 (1,80) 0.07 0.17
Job Dedication 1.00 0.40 (1,80) 0.53 0.03
Goal Setting (Total) 1.00 0.01 (1,80) 0.96 0.02
Positive Goal Attainment 1.00 0.05 (1,80) 0.83 0.00
Negative Goal Attainment 1.00 0.03 (1,80) -0.86 -0.02
Emotional Intelligence (Total) 0.95 4.21 (1,80) 0.04* 0.17
Awareness of Own Emotions 0.99 0.64 (1,80) -0.43 -0.09
Ability to Discuss Own Emotions 0.91 8.01 (1,80) 0.01* 0.28
Ability to Manage Own Emotions 0.98 1.52 (1,80) 0.22 0.10
Awareness of Others’ Emotions 0.99 0.69 (1,80) 0.41 0.06
Ability to Manage Others’ Emotions 0.92 7.21 (1,80) 0.01 0.26
* = p<0.05; ** = p<0.01
Citizenship Performance
An examination of the repeated measures ANOVAs presented in Table 46 reveals
that for Citizenship performance there were no significant changes from the pre- to post-
training. The results presented below demonstrate no effect occurred in self-reported
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citizenship performance from pre- to post-IS training. Therefore, Hypothesis 8 is not
supported.
Goal Setting
Table 46 also presents the results of the repeated measures ANOVAs and
calculations of Cohen’s d for the goal setting scale. The results reveal no significant
changes in the overall goal setting scale or the two subscales of positive and negative
goal attainment. These results provide evidence that the IS training had no effect on the
self-reported goal setting skills of individual participants. Therefore, Hypothesis 9 is not
supported.
Emotional Intelligence
Finally, Table 46 provides the results of repeated measures ANOVAs for EI from
pre- to post- training. The table reveals that there was a statistically significant
improvement for the overall EI with a non-significant effect size. There were also
significant changes reported for ‘Ability to Discuss Own Emotions’ from pre-training
(M = 4.07, SD =1.30) to post=training [M = 4.40, SD = 1.07; t (160), p = 0.01] with an
effect size of (d = 0.28). ‘Ability to Manage Others’ Emotions’ also increased
significantly from pre-training (M = 4.48, SD = 0.89) to post=training [M = 4.70, SD =
0.83; t (160), p = 0.00] with an effect size of (d = 0.26). For the remainder of the EI
subscales, there was no change from pre- to post-training. Based on these results,
Hypothesis 10 is only partially supported.
Discussion – Emotional Intelligence Training
Emotional Intelligence
The first hypothesis in this study sought to determine whether specific emotions-
focused training interventions increased the self-reported overall EI of the participants.
Participants completed the WEIP-6 measure of EI (Jordan et al., 2002), a measure
constructed in keeping with Mayer and Salovey’s (1997) four branch model of EI (see
Figure 1 in Chapter Four). Significant increases in overall EI were observed. Cohen’s d
was calculated to determine the effect size of the overall intervention. As shown in
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Table 36, the effect size for overall EI is d = 0.18. Although this signifies a small effect,
this result can still be considered meaningful in light of the fact that after only two-and-
a-half days of training, the experimental group are reporting changes in their EI skills
and abilities. It would have been beneficial to this research to have been able to re-test
participant EI at an additional point (after a period of practice and mastery) to determine
further changes from pre- to post-training. In addition, the second survey was conducted
at a minimum of two weeks and an average of three weeks after the program had been
conducted, demonstrating that these results were not the results of a feel good effect
directly after training. Clearly, these results indicate that EI can be improved through the
use of an emotions-focused training program.
Awareness of Emotions
Hypothesis 2a explored the impact of emotions-focused training interventions on
the awareness of own emotions of individuals, whereas Hypothesis 2b focused upon
determining the impact of the training on individual’s awareness of others’ emotions.
Table 36 also shows that the subscale ‘Awareness of Own Emotions’ did not improve
from pre- to post-training. Upon reflection, an explanation for this result could be that
individuals actually rated themselves to be more aware of their emotions than they
actually were, prior to the commencement of the training program. Through the process
of attending the training, participants were exposed to a variety of ways in which they
could become more aware of the emotions they experienced in their home and working
lives. This would mean that any changes experienced as a result of the training would be
diluted by increasing awareness and the overestimation of the pre-test scores. A
retrospective pre-test (Lamb & Tschillard, 2005) would have been an excellent method
to assess perceived vs. actual awareness.
Next, Hypothesis 2b was tested by determining the training intervention’s impact
on ‘Awareness of Others’ Emotions’. In accordance with the hypothesis, the ANOVA
results demonstrated that this subscale increased significantly from pre- to post-training.
Measurements of Cohen’s d also yielded a small effect size indicating that the
participant’s ‘Awareness of Others’ Emotions’ improved as a result of emotions-focused
training. The increase in the area can be attributed to the way in which the training
program was facilitated. Many of the exercises conducted during the training focused
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specifically on work-team members sharing and describing the emotions encountered in
a variety of work situations. Coupled with training in how to recognise the emotions of
others, these conversations would have assisted individuals to significantly increase
their skills in this area.
Facilitation of Emotions
Hypothesis 3 then focused on determining the impact of the training intervention
on facilitation of own and others emotions. The WEIP-6 measures this sub-construct
through the subscale ‘Ability to Manage Other’s Emotions’ (see Figure 1). The results
presented in Table 36 showed a significant increase from pre- to post-test with a small
effect size being calculated from the data. Exercises in generating emotions though
perspective taking, emotional contagion and techniques such as guided imagery
provided participants with a range of tools that they could use to facilitate emotions in
self and others. By allowing participants the opportunity to practice these techniques in a
training environment, their confidence in their ability to manage the emotions of others
through the effective use of emotions was increased.
Understanding Emotions
The purpose of Hypothesis 4 was to determine what impact the emotions-focused
training intervention had on understanding of own emotions. In line with Jordan et al’s.
(2002) WEIP-6 linkages to Mayer and Salovey’s (1997) four branch model of EI,
changes in this ability were measured using the ‘Ability to Discuss Own Emotions’
subscale (see Figure 1). The results showed a significant increase in this subscale. In
addition, the calculation of Cohen’s d showed a small increase from pre-to post-training.
As with the awareness of own emotions results, on reflection, these results can be
explained by the participants overestimating their skills in this area, prior to training.
The participants were encouraged to discuss their emotions throughout the training
intervention and reflect upon the impact that these emotions had not only on themselves,
but on others. Despite the small effect size, these results are still meaningful in light of
the two and a half days of training the participants received.
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Managing Emotions
Finally in terms of EI, Hypothesis 5 examined the extent to which training in
emotions-focused skills and abilities improved skills and abilities in the management of
their own emotions. The results presented in Table 36 demonstrate that there was no
significant improvement in the self-reported ‘Ability to Manage Own’ emotions from
pre-to-post test. This result was against expectations, because there was a great deal of
time spent at the end of the program training the participants in emotional management
skills. However, on reflection, possible explanations for the lack of change in this area
could be the result of not having enough opportunities to practice these new skills
between the end of training and the second survey (approximately two weeks later).
Additionally, a large proportion of the training attendees were upper-level management
staff who would already posses some emotion management skills and therefore, not
reported large changes in their skill level from pre- to post-test.
Citizenship Performance
Hypothesis 6 then proposed that EI training would lead to an increase in
citizenship performance. As can be seen in Table 36 there were no self-reported
differences in overall citizenship performance or ‘Job Dedication’ from pre-to post-
training. As the training was focused on the emotional and relational nature of work, the
results for ‘Job Dedication’ demonstrated that participants were responding consistently
to the variables that were not targeted by the training program.
Interestingly however, ‘Interpersonal Facilitation’ (relational, helping behaviours)
significantly decreased after the training intervention. A possible explanation (as with
participants’ ‘Ability to Manage Own Emotions’) is that the training intervention
actually highlighted for individuals their deficiencies in this area, in that they moved
from unconscious to a conscious understanding their deficiencies. This realisation may
then have led to a more conservative reporting of the skills and abilities in the post-
training data collection. A further explanation may lie in the content of the training
program being focused on improving EI skills and abilities and interpersonal
relationships; in Chapter Five, these were shown to be linked. With this in mind, a
positive change in EI could highlight for the individuals that they were, perhaps, not
being as helpful in their behaviours as they had reported prior to training.
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Goal Setting
Finally, Hypothesis 7 proposed that EI training would improve the goal setting
skills of the individuals receiving the intervention. The results of the ANOVAs
conducted on this data showed no significant increase in overall goal setting. The
measures of Cohen’s d further confirmed that the training intervention did not increase
self-reported goal setting. There are several explanations why no differences were
measured from pre-to post-test in this area. First, the training intervention focused solely
on providing additional skills and abilities in the area of EI. Although research has
shown a link between EI and goal focus (Jordan et al., 2002), the measure is focused on
existing goals that have already been set. Therefore, perhaps a measure that focuses on
future behaviours or intentions with respect to goal setting may have been more
appropriate to gauge how the individuals would behave with respect to goal setting in
the future. In addition, the actual subscales used within the measure may not have been
the optimum measures for this research.
Discussion – Interpersonal Skills Training
Citizenship Performance
The aim of this study was to test three separate hypotheses (Hypotheses 8, 9 and
10) to determine whether basic IS training leads to increases in citizenship performance,
goal setting and EI of individuals. Table 46 presented the results of the repeated
measures ANOVAs and the calculations of Cohen’s d to measure the effect of the
intervention on overall citizenship performance. Unexpectedly, the results showed no
increase in individual citizenship performance from pre- to post-training. In addition,
the analysis of the two subscales of ‘Interpersonal Facilitation’ and ‘Job Dedication’
revealed no changes, although with a larger sample size the results for ‘Interpersonal
Facilitation’ (p = 0.07, d = 0.17) may have reached significance.
The results obtained were surprising; it was contended that the skills taught within
the IS program were specifically selected, because research had shown that these skills
were linked to citizenship performance. A possible reason for the discrepancy in the
results could, perhaps, be caused by the individuals over-estimating their citizenship
performance skills in the pre-training self-report survey measure. The participants
completing the pre-training survey measure may have been biased in their responses in
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the belief that it is more desirable to possess citizenship performance skills and abilities
within the workplace.
To overcome the potential issues associated with the self-report, several measures
have been identified that would have been beneficial within this study. First, using peer
reports of citizenship performance would have enabled the comparison of the self-report
data to determine if an overestimation of the abilities was occurring prior to the
commencement of the training. Second, a measure of social desirability could have been
included within the ‘Emotions in the Workplace’ survey to determine the extent to
which individuals were biased in their responses to the citizenship performance measure
and the other measures contained within the survey. Finally, performance tasks could
have been incorporated into the study pre- and post-training to determine the actual
performance outcomes of the training program.
Goal Setting
Hypothesis 9 sought to determine whether self-reported goal setting skills
improved as a result of the IS training program. Because specific goal setting skills were
being trained within the one-day IS program, it was envisaged that a natural outcome
would be that individuals would improve in this area. Table 46 presented the results of
the repeated measures ANOVAs and measures of the effect sizes that were calculated on
the self-report pre- and post-training data. Again, it was against expectations to see that
there were no improvements in the overall goal setting measure or the two subscales
measured.
There are two reasons why these results may have occurred. First, the measures
used to determine the goal setting abilities of the individuals may not have been the
optimum measure for the goal setting skills in this study. This is because the participants
would require a significant amount of time to set and achieve their goals (Latham &
Locke, 1979). The survey measure used within this study focused on the nature and
outcomes of this process. Obviously, in hindsight, this process would take a
significantly longer period of time than was allowed for within the survey design (two
weeks). Perhaps a measure that determined the process of goal setting would have been
more beneficial, because the participants would have been able to report on the aspects
of setting goals, rather than on the outcomes of the entire goal setting process.
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Second, the participants perhaps needed more than the two-week period between
the measures to practice and hone their newly-learned goal setting skills and abilities.
Employees within organisations generally set their overall performance goals during
annual or six-monthly performance reviews (Greenhaus, Callanan & Kaplan, 1995).
Two weeks was insufficient time to let the participants set specific goals and to measure
their success. Clearly, a greater period of time between the surveys would have enabled
the participants to set goals and assess their effectiveness at reaching those set goals.
Emotional Intelligence
Finally, Hypothesis 10 proposed that the training of IS would not lead to increases
in the overall EI of the participants within the training program. This was because the
training focused on specific supportive communication, conflict resolution and goal
setting skills. While these skills do have links to emotion, they are not specifically
designed to increase the individuals’ abilities across the four-branch model of EI. As
with the self-report measures of citizenship performance and goal setting, the pre- and
post-measures of the EI were conducted as part of the ‘Emotions in the Workplace’
survey.
The results demonstrate that a statistically significant improvement in overall EI
measured from pre- to post-training occurred (with the effect size approaching
significance at d = 0.17). There was also a significant change in the two subscales,
‘Ability to Discuss Own Emotions’ and ‘Ability to Manage Others’ Emotions’. The
calculations of effect sizes indicate that the training produced a small, but significant,
effect for these two sub-scales. There was no change reported in the remaining three
subscales.
After examining the results in more detail the improvements in ‘Ability to Discuss
Own Emotions’ and ‘Ability to Manage Others’ Emotions’ can be explained. As
mentioned previously, the areas of supportive communication, conflict resolution and
goal setting do have links to emotions (although it was hypothesised that these links
were not strong enough to impact EI). In addition, the training program was facilitated
in such a way that the individuals spent considerable time discussing workplace
situations where supportive communication principles were violated, conflict resolution
strategies had failed and the goal setting process had not been undertaken to their
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satisfaction. These discussions often focused on the emotional and relational impacts of
these situations. Furthermore, the participants actively learnt techniques to manage
others’ perceptions through the use of appropriate supportive communication, conflict
resolution and goal setting techniques.
The content of these conversations would often include the individual expressing
or recounting of the emotions that they had experienced within these situations. Through
the design of the training intervention, the participants were, in effect, being given the
opportunity to learn how to discuss their emotions in an open manner within their work
teams and to manage their interactions with others. Therefore, while IS did not have a
large impact on overall EI, this type of training has certainly been found to assist
individuals to be able to better discuss their emotions and manage the emotions of
others in a workplace setting. Clearly, these findings are an important outcome of this
study and have significant implications for the research and practice that will be fully
detailed in Chapter Nine. Further investigation of these results will be undertaken in the
next chapter.
Limitations – Emotional Intelligence Training
Several limitations to the EI training program have been identified. The most
significant limitation revealed during the data collection phase was that a full data set
was not achieved for the follow-up training as participants were unable to attend for a
range of reasons ranging from illness to pre-booked leave and other operational
requirements. On reflection and despite their non-attendance, it would have still been
beneficial to ask these individuals to complete the second survey. Had this process been
organised, there would have been, potentially, a further 60 sets of survey responses that
could have been analysed and reported. Despite not being able to collect this data,
results from the course evaluation surveys administered after the full two days of
training (and completed by all 265 participants) demonstrated that the training was
valued by attendees. Participants completed four quantitative questions (on a Likert-
type scale) regarding the usefulness of the training in each of the four branches of EI
(awareness, facilitation, understanding and management of emotions). The mean results
were 3.99, 3.96, 3.99 and 3.98 for each respective branch.
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A second limitation was that there was no way to determine whether the
individuals had unintentionally inflated their pre-training surveys scores, leading to
smaller increases being reported post-training. The Retrospective Pre-Test or ‘then test’
would have been a useful measure that would have enabled a cross-comparison of the
results within this study to be conducted (Lamb & Tschillard, 2005; Pratt, McGuigan, &
Katzev, 2000; Sadri & Snyder, 1995). The Retrospective Pre-Tests allow the
participants to reflect on their actual skills and abilities prior to training after the training
program had been fully completed.
Third, it would have been extremely beneficial to re-administer the ‘Emotions in
the Workplace’ survey a third time, after the training participants had been given a
period of time to practice and master the emotions-focused skills that had been covered
during the training program. Had this been possible, further evidence of the impact of
the training could have been gathered.
A final limitation of the EI training program was that the training could only be
administered over a two-day period and therefore choices needed to be made about the
content that would be delivered in this period. When originally negotiating with the
research organisation, a full week of training was proposed as the optimum model so
that a wider range of skills could have been covered and experienced by participants;
however this was not granted due to operational constraints. In hindsight, the training of
some differing skills to the ones chosen for the program may have been chosen as a
result of this experience.
Limitations – Interpersonal Skills Training
There are also several limitations within the IS training. First, a larger sample size
would have generated a greater level of confidence in the results reported. However, as
with the EI training, course evaluation surveys were administered after the training had
been completed (and completed by 88 participants). Again, these results demonstrated
that participants perceived the training to be useful. Participants completed three
quantitative questions (on a Likert-type scale) regarding the usefulness of the training in
each of the three areas covered in the training (namely supportive communication,
conflict resolution and goal setting). The mean results were 4.07, 3.84 and 3.82
respectively.
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In addition, the short duration of the training program may have impacted the
results. On reflection, constructing the training over a two-day period (as with the EI
training program) might have produced more significant outcomes. Finally, as has
already been mentioned in this Chapter, in hindsight, the measure of goal setting that
was used in the overall research project was probably not the most effective measure
that could have been used.
Chapter Summary
This chapter has explored the impact of two separate training programs (an EI and
an IS intervention) on the EI, citizenship performance and goal setting skills of
individuals. The results for the EI component of the study have demonstrated that those
training programs that are specifically designed and constructed to teach skills and
abilities associated with Mayer and Salovey’s four-branch model of EI do have the
ability to increase self-reported EI. These results are extremely important and timely,
because there is still much debate as to whether EI can be learned through training
programs. Clearly, the results obtained from this intervention demonstrate that this is
possible.
The results from the IS intervention demonstrated no change in citizenship
performance or goal setting, but did produce some improvement in EI. Possible reasons
for these results have been discussed within this chapter. The following chapter of this
thesis will seek to explore the results of this study in further detail, to gain a greater
understanding of the impacts of both EI and IS training on the EI of the individuals.
In the following chapter the results from Studies 1 and 2 will be reanalysed by
trichotomising the pre-test EI scores for the normative, EI and IS skills trained groups.
The purpose of this analysis is to determine whether the EI and IS interventions yielded
greater impacts for participants commencing the programs with low, moderate or high
EI. If it can be ascertained that the training programs offer greater benefits to specific
groups of individuals, future training of these skills can be concentrated on those who
would gain the greatest benefit.
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CHAPTER SEVEN
A Reanalysis of Initial Emotional Intelligence Levels on Training
Effectiveness
Overview
The purpose of this chapter is to further explore and reanalyse the results
discussed in Chapters Five and Six of this thesis and, in particular, examine whether an
individual’s initial (pre-test) EI level impacts the effectiveness of training for EI and IS.
The initial studies were undertaken using a quasi-experimental design to determine
whether EI abilities could be trained in an organisational context. The results of
Chapters Five and Six give a global indication of the efficacy of the EI training. These
studies however, did not examine individual EI scores at pre-training to determine
whether specific EI levels (namely low, moderate and high) had an impact on the post-
training outcomes. Therefore, the aim of this chapter is to examine these data in more
detail to determine if pre-existing levels of EI had an impact on the effect of the training
program. Data were trichotomised by pre-training EI scores in accordance with the
research undertaken by Jordan et al. (2002). In this study, Jordan et al. (2002) found that
IS training was effective for those participants who commenced the training program
with low EI, but had no effect on participants with high EI prior to training. In keeping
with Jordan et al’s. (2002) method, I seek to establish whether the interventions had a
greater impact on those participants who had reported a high, moderate or low EI at the
beginning of the study. The outcomes from these analyses can be used to determine
whether the results from the differences in Studies 1 and 2 were impacted by the groups’
differences prior to training.
Hypotheses
Based on Jordan et al. (2002) and Jordan and Ashkanasy’s (2006) findings, nine
hypotheses have been developed for testing within this study. The first three hypotheses
relate to the normative group. Chapter Five analysed the normative sample of
participants from the organisation who had received no training. In Chapter Five, I
hypothesized that there would be no changes in citizenship performance, EI or goal
setting for this group of participants. Data were collected at three points over an
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eighteen-month period and revealed no change in citizenship performance or goal
setting; however, there was a small change in one of the EI dimensions, ‘Ability to
Discuss Own Emotions’. Extending from these results, I hypothesise that:
Hypothesis 1: Low EI participants from the normative group will have no
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. EI.
Hypothesis 2: Moderate EI participants from the normative group will have no
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. EI.
Hypothesis 3: High EI participants from the normative group will have no
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. EI.
Chapter Six then focused on analysing whether a specific emotions-focused
intervention would lead to improvements in citizenship performance, EI and goal
setting. Increases were revealed in total EI and the three subscales ‘Ability to Discuss
Own Emotions’, Awareness of Others’ Emotions’ and Ability to Manage Others’
Emotions’. The hypothesis in relation to citizenship performance and goal setting were
not supported. A deeper investigation of these results will be conducted through the
testing of the following three hypotheses:
Hypothesis 4: Low EI participants who received the EI training will have
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. EI.
Hypothesis 5: Moderate EI participants who received the EI training will have
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
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c. EI.
Hypothesis 6: High EI participants who received the EI training will have
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. EI.
Finally, Chapter Six determined whether IS training could impact citizenship
performance, EI and goal setting of the participants. Specifically, I hypothesized that
citizenship performance and goal setting would increase and that there would be no
increase in the participant’s EI from pre- to post-training. The data revealed that IS
training did not lead to improvements in citizenship performance and goal–setting, but
did increase the participants’ ‘Ability to Discuss Own Emotions’ and ‘Ability to
Manage Others’ Emotions’ with small effect sizes for both subscales. In the discussion
of Chapter Six I suggested that the reason for changes in EI may have been impacted by
the participant’s level of EI prior to training. Specifically, participants with the lowest EI
may have received the greatest benefit. Therefore, the following hypotheses have been
developed to test the efficacy of training in IS for participants with a low, moderate and
high EI:
Hypothesis 7: Low EI participants who received the IS training will have
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. EI.
Hypothesis 8: Moderate EI participants who received the IS training will have
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. No change in EI.
Hypothesis 9: High EI participants who received the IS training will have
significant increases in:
a. Citizenship Performance;
b. Goal Setting; and
c. No change in EI.
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Method
In Chapters Five and Six, data from the three studies were analysed by calculating
the mean composite (EM calculation in SPSS) of each scale and subscale and then
conducting repeated measures ANOVAS to compare pre- and post-differences. What is
unknown from this analysis is whether participants with differing levels of EI at Time 1
data collection (or pre-training) had differing outcomes from the training provided.
To explore these hypotheses further, data from all three studies have been split on
the basis of Time 1 (pre-training) and total EI score and reanalysed using independent
samples t-tests, repeated measures MANOVAs and repeated measures ANOVAs to
compare any differences between the groups. Data were trichotomised into three
categories in accordance with the method employed by Jordan and Ashkanasy (2006).
Category 1 (low EI) participants were those participants for each study whose total EI
scores at Time 1 data collection fell into the bottom 25% of scores for their relative
group (normative, EI, and IS). Category 2 (moderate EI) participants fell into the middle
25–75% of respondent scores. Category 3 (high EI) were participants whose total EI
scores were in the top 25% of their relative group. The combined descriptive statistics
for all three groups are presented first, followed by the results from the independent
samples t-tests and repeated measures MANOVAs. The repeated measures ANOVA
results for the normative, EI and IS trained groups are then presented separately.
Results
Descriptive Statistics
Low Emotional Intelligence Scores
Twenty-two participants were allocated to the low EI average normative group.
Within this group, total EI at Time 1 data collection ranged from 2.75 to 4.26 (on a 7-
point Likert-type scale). These scores represent the lower 25% of the total EI scores.
Table 47 presents the means and standard deviations for the normative sample with low
total EI scores at Times 1, 2 and 3 data collections.
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Table 47 Means and Standard Deviations for Normative Sample (Low EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Time 3 Mean (SD)
Citizenship Performance 22 3.58 (0.54) 3.64 (0.38) 3.61 (0.43) Interpersonal Facilitation 22 3.49 (0.77) 3.55 (0.45) 3.47 (0.46) Job Dedication 22 3.63 (0.51) 3.69 (0.47) 3.70 (0.52) Goal Setting 22 3.38 (0.56) 3.40 (0.60) 3.43 (0.64) Positive Goal Attainment 22 3.28 (0.68) 3.30 (0.69) 3.32 (0.69) Negative Goal Attainment 22 3.56 (0.54) 3.58 (0.71) 3.62 (0.69) Emotional Intelligence 22 3.92 (0.36) 4.20 (0.53) 4.24 (0.59) Awareness of Own Emotions 22 4.44 (0.98) 4.48 (0.94) 5.03 (0.89) Ability to Discuss Own Emotions 22 2.96 (0.91) 3.53 (0.98) 3.30 (0.99) Ability to Manage Own Emotions 22 4.69 (0.95) 4.73 (0.73) 4.86 (0.84) Awareness of Others’ Emotions 22 3.69 (0.61) 4.08 (1.02) 3.99 (0.92) Ability to Manage Others’ Emotions 22 3.74 (0.87) 4.06 (0.72) 4.09 (0.83)
Forty-one participants from the EI training group were allocated to the low EI
average group (the lower 25% of the participants). Within this group, total EI at Time 1
(pre-training) ranged from 3.46 to 4.38 (SD = 0.27) (on a 7-point Likert-type scale).
Table 48 presents the means and standard deviations for the EI training sample with low
total EI scores at Times 1 and 2 (pre-and post-training) data collections.
Table 48 Means and Standard Deviations for EI Training Sample (Low EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Citizenship Performance 41 3.71 (0.34) 3.74 (0.30) Interpersonal Facilitation 41 3.73 (0.50) 3.73 (0.48) Job Dedication 41 3.70 (0.43) 3.75 (0.40) Goal Setting 41 3.24 (0.58) 3.35 (0.54) Positive Goal Attainment 41 3.23 (0.70) 3.37 (0.67) Negative Goal Attainment 41 3.23 (0.60) 3.32 (0.57) Emotional Intelligence 41 4.02 (0.27) 4.40 (0.48) Awareness of Own Emotions 41 4.47 (0.87) 4.69 (0.86) Ability to Discuss Own Emotions 41 3.30 (0.70) 3.77 (0.81) Ability to Manage Own Emotions 41 4.62 (0.68) 4.90 (0.65) Awareness of Others’ Emotions 41 3.81 (0.60) 4.24 (0.61) Ability to Manage Others’ Emotions 41 3.85 (0.64) 4.33 (0.70)
Twenty participants from the IS training group were allocated to the low EI
average group. Within this group, total EI at Time 1 (pre-training) ranged from 2.88 to
4.21 (SD = 0.37) and from 3.67 to 5.37 (SD = 0.42) post-training. Table 49 presents the
means and standard deviations for the IS training sample (low EI) at Times 1 and 2 (pre-
and post-training) data collections.
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Table 49 Means and Standard Deviations for IS Training Sample (Low EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Citizenship Performance 20 3.59 (0.25) 3.70 (0.35) Interpersonal Facilitation 20 3.46 (0.42) 3.71 (0.49) Job Dedication 20 3.67 (0.37) 3.70 (0.40) Goal Setting 20 3.30 (0.54) 3.30 (0.40) Positive Goal Attainment 20 3.26 (0.75) 3.30 (0.53) Negative Goal Attainment 20 3.37 (0.61) 3.31 (0.49) Emotional Intelligence 20 3.80 (0.37) 4.20 (0.42) Awareness of Own Emotions 20 4.00 (0.60) 4.52 (0.56) Ability to Discuss Own Emotions 20 2.71 (0.85) 3.64 (0.86) Ability to Manage Own Emotions 20 4.48 (0.70) 4.69 (0.62) Awareness of Others’ Emotions 20 3.77 (0.59) 4.02 (0.71)
Moderate Emotional Intelligence Scores
Forty-seven participants from the normative sample were partitioned into the
moderate EI category. Scores ranged from 4.27 to 5.28 at Time 1. Means and standard
deviations at Times 1, 2 and 3 data collections for each of the three scales (and their
respective subscales) are presented in Table 50.
Table 50 Means and Standard Deviations for Normative Sample (Moderate EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Time 3 Mean (SD)
Citizenship Performance 47 3.86 (0.35) 3.84 (0.39) 3.85 (0.41) Interpersonal Facilitation 47 3.84 (0.43) 3.80 (0.44) 3.83 (0.41) Job Dedication 47 3.88 (0.42) 3.88 (0.47) 3.87 (0.48) Goal Setting 47 3.55 (0.52) 3.67 (0.49) 3.55 (0.52) Positive Goal Attainment 47 3.52 (0.65) 3.63 (0.61) 3.55 (0.61) Negative Goal Attainment 47 3.60 (0.65) 3.73 (0.56) 3.55 (0.60) Emotional Intelligence 47 4.78 (0.28) 4.81 (0.55) 4.77 (0.46) Awareness of Own Emotions 47 5.42 (0.66) 5.10 (0.86) 5.12 (0.89) Ability to Discuss Own Emotions 47 3.95 (0.93) 4.23 (1.20) 4.10 (0.99) Ability to Manage Own Emotions 47 5.27 (0.53) 5.20 (0.61) 5.14 (0.51) Awareness of Others’ Emotions 47 4.77 (0.61) 4.82 (0.78) 4.83 (0.71) Ability to Manage Others’ Emotions 47 4.42 (0.67) 4.60 (0.73) 4.51 (0.81)
Eighty-two EI training participants were partitioned into the moderate EI category.
Scores ranged from 4.42 to 5.42 (SD = 0.29) prior to training and 3.46 and 6.63 (SD =
0.55) post-training. Means and standard deviations at Times 1 and 2 data collections for
each of the three scales (including subscales) are presented in Table 51.
Forty-one participants from the IS group were then allocated into the moderate EI
category. EI scores ranged from 4.25 to 5.18 (SD = 0.28) prior to training and 4.07 and
5.75 (SD = 0.39) post-training. Means and standard deviations at Times 1 and 2 data
collections (including subscales) are presented in Table 52.
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Table 51 Means and Standard Deviations for EI Training Sample (Moderate EI)
n Time 1
Mean (SD) Time 2
Mean (SD)
Citizenship Performance 82 4.00 (0.36) 3.95 (0.36) Interpersonal Facilitation 82 4.11 (0.39) 4.02 (0.41) Job Dedication 82 3.94 (0.48) 3.90 (0.42) Goal Setting 82 3.65 (0.53) 3.71 (0.49) Positive Goal Attainment 82 3.71 (0.61) 3.76 (0.57) Negative Goal Attainment 82 3.56 (0.60) 3.63 (0.56) Emotional Intelligence 82 4.90 (0.29) 5.03 (0.55) Awareness of Own Emotions 82 5.15 (0.97) 5.16 (0.99) Ability to Discuss Own Emotions 82 4.29 (0.92) 4.59 (1.09) Ability to Manage Own Emotions 82 5.38 (0.56) 5.38 (0.62) Awareness of Others’ Emotions 82 4.82 (0.55) 4.96 (0.75) Ability to Manage Others’ Emotions 82 4.75 (0.79) 4.96 (0.79)
Table 52 Means and Standard Deviations for IS Training Sample (Moderate EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Citizenship Performance 41 3.91 (0.36) 3.88 (0.33) Interpersonal Facilitation 41 3.89 (0.37) 3.88 (0.35) Job Dedication 41 3.93 (0.51) 3.88 (0.43) Goal Setting 41 3.55 (0.45) 3.56 (0.47) Positive Goal Attainment 41 3.51 (0.56) 3.54 (0.57) Negative Goal Attainment 41 3.61 (0.60) 3.60 (0.54) Emotional Intelligence 41 4.75 (0.28) 4.79 (0.39) Awareness of Own Emotions 41 5.15 (0.86) 4.99 (0.99) Ability to Discuss Own Emotions 41 4.11 (0.86) 4.22 (0.87) Ability to Manage Own Emotions 41 5.16 (0.57) 5.20 (0.61) Awareness of Others’ Emotions 41 4.76 (0.51) 4.78 (0.57) Ability to Manage Others’ Emotions 41 4.48 (0.71) 4.63 (0.66)
High Emotional Intelligence Scores
Table 53 presents the means and standard deviations for normative group
participants with high average EI. In total, 19 participants within the normative sample
were classified within this category. The mean composite scores for this group ranged
between 5.29 and 6.25.
Table 54 presents the means and standard deviations for the EI training
participants with a high average EI. In total, 38 participants were classified within this
category. The mean composite scores for this group ranged between 5.46 and 6.46 (SD
= 0.27) prior to training (Time 1) and 4.13 and 6.62 (SD = 0.53) post-training.
Finally, Table 55 provides the means and standard deviations for IS participants
with high average EI. A total of 20 participants were classified within this category. The
mean composite EI scores for this group ranged between 5.20 and 6.63 (SD = 0.41)
prior to training (time 1) and 4.96 and 6.67 (SD = 0.47) post-training.
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Table 53 Means and Standard Deviations for Normative Sample (High EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Time 3 Mean (SD)
Citizenship Performance 19 4.25 (0.37) 4.19 (0.42) 4.14 (0.41) Interpersonal Facilitation 19 4.34 (0.44) 4.25 (0.46) 4.21 (0.40) Job Dedication 19 4.20 (0.41) 4.16 (0.47) 4.09 (0.44) Goal Setting 19 3.93 (0.59) 3.93 (0.55) 3.84 (0.59) Positive Goal Attainment 19 4.11 (0.76) 4.04 (0.62) 3.99 (0.70) Negative Goal Attainment 19 3.62 (0.70) 3.74 (0.66) 3.60 (0.68) Emotional Intelligence 19 5.66 (0.25) 5.44 (0.61) 5.33 (0.69) Awareness of Own Emotions 19 5.84 (1.03) 5.49 (0.98) 5.18 (1.35) Ability to Discuss Own Emotions 19 5.33 (0.68) 5.29 (0.99) 5.28 (0.89) Ability to Manage Own Emotions 19 5.94 (0.40) 5.66 (0.71) 5.61 (0.74) Awareness of Others’ Emotions 19 5.56 (0.44) 5.31 (0.68) 5.17 (0.79) Ability to Manage Others’ Emotions 19 5.63 (0.49) 5.49 (0.58) 5.30 (0.79)
Table 54 Means and Standard Deviations for EI Training Sample (High EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Citizenship Performance 38 4.40 (0.38) 4.30 (0.34) Interpersonal Facilitation 38 4.51 (0.42) 4.31 (0.37) Job Dedication 38 4.34 (0.50) 4.30 (0.42) Goal Setting 38 4.00 (0.55) 3.90 (0.52) Positive Goal Attainment 38 3.98 (0.64) 3.94 (0.63) Negative Goal Attainment 38 4.04 (0.53) 3.84 (0.58) Emotional Intelligence 38 5.73 (0.27) 5.59 (0.53) Awareness of Own Emotions 38 5.91 (0.72) 5.62 (0.87) Ability to Discuss Own Emotions 38 5.59 (0.72) 5.49 (0.92) Ability to Manage Own Emotions 38 6.03 (0.50) 5.82 (0.51) Awareness of Others’ Emotions 38 5.59 (0.43) 5.47 (0.70) Ability to Manage Others’ Emotions 38 5.57 (0.57) 5.51 (0.64)
Table 55 Means and Standard Deviations for IS Training Sample (High EI)
n
Time 1 Mean (SD)
Time 2 Mean (SD)
Citizenship Performance 20 4.35 (0.56) 4.38 (0.46) Interpersonal Facilitation 20 4.38 (0.52) 4.48 (0.39) Job Dedication 20 4.33 (0.64) 4.31 (0.56) Goal Setting 20 4.03 (0.44) 4.00 (0.51) Positive Goal Attainment 20 4.11 (0.49) 4.04 (0.53) Negative Goal Attainment 20 3.89 (0.52) 3.93 (0.61) Emotional Intelligence 20 5.56 (0.41) 5.66 (0.47) Awareness of Own Emotions 20 6.15 (0.67) 5.60 (0.98) Ability to Discuss Own Emotions 20 5.36 (1.05) 5.53 (0.66) Ability to Manage Own Emotions 20 5.98 (0.46) 5.97 (0.55) Awareness of Others’ Emotions 20 5.64 (0.54) 5.60 (0.59) Ability to Manage Others’ Emotions 20 5.21 (0.77) 5.45 (0.62)
A Discussion of Regression to the Mean
Prior to conducting further analyses on this data, it is pertinent to discuss a
potential issue that may provide an alternative explanation and impact the internal
162.
validity of the results of this study (Cheng, 1997). Regression to the mean (RTM) or
regression toward mediocrity is a statistical phenomenon that can occur in repeated
measures research where subject are allocated into groups based on extreme pre-test
scores (Barnett, van der Pols, & Dobson, 2004; Cheng, 1997; Marsh & Hau, 2002;
Yudkin & Stratton, 1994; Zimmerman, 1992). Regression to the mean occurs when
participants or groups complete a particular measure at one point in time and score
either a relatively high or relatively low score when compared to mean scores. As the
research cannot be sure that the initial measure was totally reliable, it is more likely that
the next completion of the measure will lead to a ‘less extreme’ score, closer to the
actual subjects ‘true mean’ (Barnett et al., 2004; Cheng, 1997; Cook & Campbell, 1979;
Furby, 1973). Yudkin and Stratton (1996) state that RTM can occur whether this is a
genuine fluctuation in a participant’s score, or when measurement error is occurring.
Regression to the mean can therefore be problematic in pre-test post-test intervention
designs as there is the need to demonstrate ‘real change’ in individual (or group) results
over and above those that could be attributed to RTM (Barnett et al., 2004).
According to Barnett et al. (2004) it should be assumed that RTM has taken place,
unless the data can provide an alternative explanation because RTM is combined with
the actual intervention effect (Yudkin & Stratton, 1994). As data have been
trichotomised for this study, the possibility of RTM occurring has been therefore been
assumed. However, Barnett et al. (2004) state that there are three methods that can be
effectively employed to help minimise RTM in intervention research. First, when
designing the study, if random allocation of subjects into experimental and control
groups occur, the responses from all groups will be equally affected by RTM. According
to Bland and Altman (1994), this is the best way to control for the effects of RTM.
Second, if an individual can complete the measure at several points (at least twice)
before the intervention occurs (several pre-tests) a calculation of the mean of the tests
can be undertaken to provide a more realistic estimate of the participant’s true mean
prior to the intervention. Unfortunately, this was not possible within the framework of
this research project. Third, at post-test, statistical techniques such as t-tests,
ANCOVAs, MANOVAs and ANOVAs can be utilised to check for, and overcome
RTM.
As this study is a quasi-experimental design interested in examining trichotomised
samples from the normative, EI and IS trained groups (low moderate and high EI at pre-
163.
test), random allocation of participants at this point was not possible. However, prior to
splitting the data into low, moderate and high groups, an independent samples t-test will
be undertaken to determine the equivalency of the pre-test means. Next, a variety of
statistical techniques such as MANOVAs and ANOVAs in an attempt to identify and
correct for RTM.
Comparison Between Groups at Time 1
First, a comparison of the means at Time 1 for the total normative, EI and IS
group (through an independent samples t-test) were conducted to determine whether
there are any significant differences between groups pre-test. The results reveal that the
EI group’s pre-training EI scores were not significantly different to the IS training group
p = 0.17 or the normative group p = 0.18. Furthermore, there were no significant
differences in the Time 1 means for the normative and IS groups (p = 0.91). These
results provide confidence that the three groups were equivalent at pre-test.
Repeated Measures MANOVA
Prior to conducting the repeated measures ANOVAS on the EI and IS data, a 2 x 3
repeated measures MANOVA, with two within-person levels (pre- and post-training)
and three between-person levels (normative, EI and IS training groups) was conducted.
The purpose of this analysis is to test whether there are main effects for the different
groups within this study and whether the interaction between these three variables is
significant (Pallant, 2007).
Low Emotional Intelligence
First significant within-subjects interaction effects were uncovered between ‘Total
EI’ and all of its related subscales. In terms of within-subject main effects, none of the
scales or subscales emerged as significant. Finally, the main effects resulting from a
comparison of the three different groups (between-subjects) was significant for ‘Total
EI’. Tables 56, 57 and 58 present the full results of these analyses.
164.
Table 56 Interaction Effects (Within-person) – MANOVA comparing Normative, EI and IS Training
Wilks’ Lambda
F (df) p η2
Citizenship Performance (Total) 0.97 2.78 (1, 80) 0.10 0.03
Interpersonal Facilitation 0.97 2.86 (1, 80) 0.10 0.04
Job Dedication 0.99 0.96 (1, 80) 0.33 0.01
Goal Setting (Total) 0.97 1.12 (1, 80) 0.29 0.01
Positive Goal Attainment 0.98 1.46 (1, 80) 0.23 0.02
Negative Goal Attainment 0.99 0.06 (1, 80) 0.81 0.01
Emotional Intelligence (Total) 0.73 29.01 (1, 80) 0.00** 0.27
Awareness of Own Emotions 0.93 5.75 (1, 80) 0.02* 0.07
Ability to Discuss Own Emotions 0.64 44.29 (1, 80) 0.00** 0.36
Ability to Manage Own Emotions 0.95 4.42 (1, 80) 0.04* 0.05
Awareness of Others’ Emotions 0.85 14.18 (1, 80) 0.00** 0.15
Ability to Manage Others’ Emotions 0.84 15.71 (1, 80) 0.00** 0.16
* = p<0.05; ** = p<0.01
Table 57 Main Effects for Time (Within-person) – MANOVA comparing Normative, EI and IS Training
Wilks’ Lambda
F (df) p η2
Citizenship Performance (Total) 0.99 0.36 (2, 80) 0.70 0.01
Interpersonal Facilitation 0.96 1.51 (2, 80) 0.23 0.04
Job Dedication 0.99 0.04 (2, 80) 0.96 0.01
Goal Setting (Total) 0.98 0.83 (2, 80) 0.44 0.02
Positive Goal Attainment 0.99 0.58 (2, 80) 0.56 0.01
Negative Goal Attainment 0.99 0.56 (2, 80) 0.58 0.01
Emotional Intelligence (Total) 0.99 0.31 (2, 80) 0.74 0.01
Awareness of Own Emotions 0.97 1.34 (2, 80) 0.27 0.03
Ability to Discuss Own Emotions 0.95 2.02 (2, 80) 0.14 0.05
Ability to Manage Own Emotions 0.98 0.81 (2, 80) 0.45 0.02
Awareness of Others’ Emotions 0.99 0.33 (2, 80) 0.72 0.01
Ability to Manage Others’ Emotions 0.99 0.27 (2, 80) 0.77 0.01
* = p<0.05; ** = p<0.01
165.
Table 58 Main Effects (Between-persons) – MANOVA comparing Normative, EI and IS Training
F (df) p η2
Citizenship Performance (Total) 1.13 (2, 80) 0.33 0.03
Interpersonal Facilitation 1.67 (2, 80) 0.20 0.04
Job Dedication 0.22 (2, 80) 0.81 0.01
Goal Setting (Total) 0.28 (2, 80) 0.76 0.01
Positive Goal Attainment 0.02 (2, 80) 0.98 0.00
Negative Goal Attainment 2.15 (2, 80) 0.12 0.05
Emotional Intelligence (Total) 4.07 (2, 80) 0.02* 0.09
Awareness of Own Emotions 1.44 (2, 80) 0.24 0.04
Ability to Discuss Own Emotions 2.24 (2, 80) 0.11 0.05
Ability to Manage Own Emotions 0.57 (2, 80) 0.57 0.01
Awareness of Others’ Emotions 0.63 (2, 80) 0.54 0.02
Ability to Manage Others’ Emotions 0.91 (2, 80) 0.41 0.02
* = p<0.05; ** = p<0.01
Moderate Emotional Intelligence
First, in terms of within-subjects interaction effects, the results of the analyses
undertaken on the moderate EI group reveal none of the scales or subscales as
significant. Significant within-subjects main effects were uncovered within ‘Total Goal
Setting’, ‘Positive Goal Attainment’, ‘Ability to Discuss Own Emotions’, and ‘Ability
to Manage Others’ Emotions’. Finally, between-subjects main effects were revealed as
significant for ‘Interpersonal Facilitation’, ‘Total EI’, and ‘Ability to Manage Others’
Emotions’. Tables 59, 60, and 61 present the full results of these analyses.
166.
Table 59 Interaction Effects (Within-person) – MANOVA comparing Normative, EI and IS Training
Wilks’ Lambda
F (df) p η2
Citizenship Performance (Total) 0.99 0.16 (2, 167) 0.85 0.01
Interpersonal Facilitation 0.99 0.43 (2, 167) 0.65 0.01
Job Dedication 0.99 0.17 (2, 167) 0.84 0.01
Goal Setting (Total) 0.99 1.04 (2, 167) 0.36 0.01
Positive Goal Attainment 0.99 0.55 (2, 167) 0.58 0.01
Negative Goal Attainment 0.99 0.97 (2, 167) 0.38 0.01
Emotional Intelligence (Total) 0.99 0.83 (2, 167) 0.44 0.01
Awareness of Own Emotions 0.98 1.72 (2, 167) 0.18 0.02
Ability to Discuss Own Emotions 0.99 0.60 (2, 167) 0.55 0.01
Ability to Manage Own Emotions 0.99 0.47 (2, 167) 0.63 0.01
Awareness of Others’ Emotions 0.99 0.50 (2, 167) 0.61 0.01
Ability to Manage Others’ Emotions 0.99 0.15 (2, 167) 0.86 0.01
* = p<0.05; ** = p<0.01
Table 60 Main Effects for Time (Within-person) – MANOVA comparing Normative, EI and IS Training
Wilks’ Lambda
F (df) p η2
Citizenship Performance (Total) 0.99 1.84 (1, 167) 0.18 0.01
Interpersonal Facilitation 0.99 2.10 (1, 167) 0.15 0.01
Job Dedication 0.99 0.72 (1, 167) 0.40 0.01
Goal Setting (Total) 0.97 5.88 (1, 167) 0.02* 0.03
Positive Goal Attainment 0.97 4.39 (1, 167) 0.04* 0.03
Negative Goal Attainment 0.98 3.08 (1, 167) 0.08 0.02
Emotional Intelligence (Total) 0.98 2.97 (1, 167) 0.09 0.02
Awareness of Own Emotions 0.98 3.62 (1, 167) 0.06 0.02
Ability to Discuss Own Emotions 0.95 8.96 (1, 167) 0.01* 0.05
Ability to Manage Own Emotions 1.00 0.02 (1, 167) 0.88 0.00
Awareness of Others’ Emotions 0.99 1.34 (1, 167) 0.25 0.01
Ability to Manage Others’ Emotions 0.92 14.06 (1, 167) 0.00** 0.08
* = p<0.05; ** = p<0.01
167.
Table 61 Main Effects (Between-persons) – MANOVA comparing Normative, EI and IS Training
F (df) p η2
Citizenship Performance (Total) 2.24 (2, 167) 0.11 0.03
Interpersonal Facilitation 8.44 (2, 167) 0.00** 0.09
Job Dedication 0.16 (2, 167) 0.86 0.01
Goal Setting (Total) 1.04 (2, 167) 0.36 0.01
Positive Goal Attainment 2.30 (2, 167) 0.10 0.03
Negative Goal Attainment 0.30 (2, 167) 0.74 0.01
Emotional Intelligence (Total) 5.98 (2, 167) 0.01* 0.07
Awareness of Own Emotions 0.70 (2, 167) 0.50 0.01
Ability to Discuss Own Emotions 2.89 (2, 167) 0.06 0.03
Ability to Manage Own Emotions 2.56 (2, 167) 0.08 0.03
Awareness of Others’ Emotions 0.97 (2, 167) 0.38 0.01
Ability to Manage Others’ Emotions 4.95 (2, 167) 0.01* 0.06
* = p<0.05; ** = p<0.01
High Emotional Intelligence
For the high EI groups, within-subjects analyses reveal significant main effects for
‘Interpersonal Facilitation’ and ‘Negative Goal Attainment’. Significant within-subjects
main effects were uncovered for ‘Total EI’, ‘Awareness of Own Emotions’, and ‘Ability
to Manage Own Emotions’. Finally, between-subjects analyses revealed no significant
main effects for any of the scales or their related subscales. Tables 62, 63, and 64
present the full results of these analyses.
168.
Table 62 Interaction Effects (Within-person) – MANOVA comparing Normative, EI and IS Training
Wilks’ Lambda
F (df) p η2
Citizenship Performance (Total) 0.98 0.97 (2, 74) 0.39 0.03
Interpersonal Facilitation 0.91 3.63 (2, 74) 0.03* 0.09
Job Dedication 0.99 0.03 (2, 74) 0.97 0.01
Goal Setting (Total) 0.99 0.36 (2, 74) 0.70 0.01
Positive Goal Attainment 0.99 0.05 (2, 74) 0.95 0.01
Negative Goal Attainment 0.91 3.55 (2, 74) 0.03* 0.09
Emotional Intelligence (Total) 0.98 0.79 (2, 74) 0.46 0.02
Awareness of Own Emotions 0.99 0.41 (2, 74) 0.66 0.01
Ability to Discuss Own Emotions 0.99 0.44 (2, 74) 0.65 0.01
Ability to Manage Own Emotions 0.96 1.45 (2, 74) 0.24 0.04
Awareness of Others’ Emotions 0.99 0.55 (2, 74) 0.58 0.02
Ability to Manage Others’ Emotions 0.95 1.81 (2, 74) 0.17 0.05
* = p<0.05; ** = p<0.01
Table 63 Main Effects for Time (Within-person) – MANOVA comparing Normative, EI and IS Training
Wilks’ Lambda
F (df) p η2
Citizenship Performance (Total) 0.98 1.18 (1, 74) 0.28 0.02
Interpersonal Facilitation 0.98 1.59 (1, 74) 0.21 0.02
Job Dedication 0.99 0.54 (1, 74) 0.46 0.01
Goal Setting (Total) 0.99 0.66 (1, 74) 0.42 0.01
Positive Goal Attainment 0.99 0.77 (1, 74) 0.38 0.01
Negative Goal Attainment 0.99 0.06 (1, 74) 0.81 0.01
Emotional Intelligence (Total) 0.95 4.15 (1, 74) 0.05* 0.05
Awareness of Own Emotions 0.88 10.43 (1, 74) 0.01* 0.12
Ability to Discuss Own Emotions 1.00 0.01 (1, 74) 0.92 0.00
Ability to Manage Own Emotions 0.92 6.38 (1, 74) 0.01* 0.08
Awareness of Others’ Emotions 0.96 3.39 (1, 74) 0.07 0.04
Ability to Manage Others’ Emotions 1.00 0.03 (1, 74) 0.87 0.00
* = p<0.05; ** = p<0.01
169.
Table 64 Main Effects (Between-persons) – MANOVA comparing Normative, EI and IS Training
F (df) p η2
Citizenship Performance (Total) 0.85 (2, 74) 0.43 0.02
Interpersonal Facilitation 0.76 (2, 74) 0.47 0.02
Job Dedication 0.63 (2, 74) 0.53 0.02
Goal Setting (Total) 0.17 (2, 74) 0.85 0.01
Positive Goal Attainment 0.43 (2, 74) 0.65 0.12
Negative Goal Attainment 1.54 (2, 74) 0.22 0.04
Emotional Intelligence (Total) 0.67 (2, 74) 0.51 0.02
Awareness of Own Emotions 0.43 (2, 74) 0.65 0.01
Ability to Discuss Own Emotions 0.78 (2, 74) 0.46 0.02
Ability to Manage Own Emotions 0.82 (2, 74) 0.45 0.02
Awareness of Others’ Emotions 0.72 (2, 74) 0.49 0.02
Ability to Manage Others’ Emotions 1.29 (2, 74) 0.28 0.03
* = p<0.05; ** = p<0.01
Normative Sample ANOVA Results (Study 1)
A series of repeated measures ANOVAs with planned comparisons using
citizenship performance, EI and goal setting (including their respective subscales) as
dependent variables and Time (Times 1, 2 and 3 data collections) as the within-subjects
factors were then conducted on the low, moderate and high EI data samples. The results
of these analyses are presented in Tables 65, 66 and 67.
Table 65 (low EI) reveals that for each of the citizenship dimensions and the goal
setting dimensions, there were no significant changes across the three data collection
points. Based on these results, Hypotheses 1a and 1b are supported. Additionally, there
was no change in the overall EI. The two subscales ‘Awareness of Own Emotions’ and
‘Ability to Discuss Own Emotions’ did demonstrate a significant change; however,
according to Cohen’s (1988) standard classifications, the effect size is small. All
remaining EI subscales showed no significant changes for the low EI group. Based on
these results, Hypothesis 1c is partially supported.
Table 66 (moderate EI) reveals no change in citizenship performance supporting
Hypothesis 2a, but a significant change in total goal setting and the subscale ‘Negative
Goal Attainment’, both with non-significant effect sizes, was revealed as not supporting
Hypothesis 2b. There was no change in overall EI; however, ‘Awareness of Own
170.
Emotions’ did decrease (with a small effect size). These results partially support
Hypothesis 2c.
Table 65 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship Performance, EI and Goal Setting Repeated Measures ANOVAs for Normative Sample (Low EI, n = 21)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.98 0.23 (2,20) 0.80 0.02
Interpersonal Facilitation 0.94 0.69 (2,20) 0.52 0.06
Job Dedication 0.97 0.31 (2,20) 0.74 0.03
Goal Setting (Total) 0.98 0.20 (2,20) 0.82 0.02
Positive Goal Attainment 0.99 0.13 (2,20) 0.88 0.01
Negative Goal Attainment 0.99 0.11 (2,20) 0.90 0.01
Emotional Intelligence (Total) 0.83 2.13 (2,20) 0.15 0.18
Awareness of Own Emotions 0.68 4.81(2,20) 0.02* 0.33
Ability to Discuss Own Emotions 0.65 5.29 (2,20) 0.01* 0.35
Ability to Manage Own Emotions 0.96 0.41 (2,20) 0.67 0.04
Awareness of Others’ Emotions 0.86 1.61 (2,20) 0.23 0.14
Ability to Manage Others’ Emotions 0.88 1.36 (2,20) 0.28 0.12
* = p<0.05; ** = p<0.01
Table 66 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship Performance, EI and Goal Setting Repeated Measures ANOVAs for Normative Sample (Moderate EI, n = 47)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 1.00 0.08 (2,45) 0.93 0.01
Interpersonal Facilitation 0.99 0.30 (2,45) 0.74 0.01
Job Dedication 1.00 0.01 (2,45) 0.99 0.00
Goal Setting (Total) 0.88 3.21 (2,45) 0.05* 0.13
Positive Goal Attainment 0.94 1.53 (2,45) 0.23 0.31
Negative Goal Attainment 0.84 4.39 (2,45) 0.02* 0.16
Emotional Intelligence (Total) 0.99 0.20 (2,45) 0.82 0.01
Awareness of Own Emotions 0.86 3.61 (2,45) 0.04* 0.64
Ability to Discuss Own Emotions 0.94 1.45 (2,45) 0.25 0.06
Ability to Manage Own Emotions 0.95 1.31 (2,45) 0.28 0.06
Awareness of Others’ Emotions 0.99 0.21 (2,45) 0.81 0.01
Ability to Manage Others’ Emotions 0.92 2.10 (2,45) 0.13 0.09
* = p<0.05; ** = p<0.01
171.
Table 67 (high EI participants) reveals no change in citizenship performance or
goal setting, thus supporting Hypotheses 3a and 3b. There was a decrease in the overall
EI and its subscale ‘Awareness of Own Emotions’. The measures of effect size
demonstrated that these changes were small; however, Hypothesis 3c is not supported.
Table 67 Wilks’ Lambda, F-Statistics, Significance and Effect Size (d) for Citizenship Performance, EI and Goal Setting Repeated Measures ANOVAs for Normative Sample (High EI, n = 19)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.85 1.56 (2,16) 0.24 0.16
Interpersonal Facilitation 0.86 1.33 (2,16) 0.29 0.14
Job Dedication 0.88 1.22 (2,16) 0.32 0.13
Goal Setting (Total) 0.92 0.79 (2,16) 0.47 0.09
Positive Goal Attainment 0.95 0.49 (2,16) 0.62 0.06
Negative Goal Attainment 0.95 0.49 (2,16) 0.62 0.06
Emotional Intelligence (Total) 0.69 3.86 (2,16) 0.04* 0.31
Awareness of Own Emotions 0.67 4.25 (2,16) 0.03* 0.33
Ability to Discuss Own Emotions 0.99 0.08 (2,16) 0.93 0.01
Ability to Manage Own Emotions 0.84 1.66 (2,16) 0.22 0.16
Awareness of Others’ Emotions 0.73 3.17 (2,16) 0.07 0.27
Ability to Manage Others’ Emotions 0.81 1.95 (2,16) 0.17 0.19
* = p<0.05; ** = p<0.01
Planned Comparisons
Finally, a series of simple and repeated contrasts were conducted to examine the
differences in mean citizenship performance, EI and goal setting scores for the sample
participants between Times 1 and 3, and Times 2 and 3 data collections. These results
are presented in Tables 68, 69 and 70 for the low, moderate and high EI groups,
respectively.
Low Emotional Intelligence Scores
The results of the planned comparisons for the low EI participants are presented in
Table 68. As can be seen, there were no significant differences in citizenship
performance or its related subscales between data collections.
172.
Table 68 F Statistics and Effect Size (d) for Citizenship Performance, EI and Goal Setting for T1, T2 & T3 (Low EI – Normative Sample)
F (df) p Bf d Citizenship Performance (Total) Time 1 to Time 2 0.48 (1,21) 0.50 1.00 0.13 Time 1 to Time 3 0.17 (1,21) 0.68 1.00 0.06 Time 2 to Time 3 0.15 (1,21) 0.70 1.00 0.08 Interpersonal Facilitation Time 1 to Time 2 0.26 (1,21) 0.62 1.00 0.10 Time 1 to Time 3 0.02 (1,21) 0.89 1.00 0.03 Time 2 to Time 3 1.35 (1,21) 0.26 0.78 0.18 Job Dedication Time 1 to Time 2 0.48 (1,21) 0.50 1.00 0.13 Time 1 to Time 3 0.49 (1,21) 0.49 1.00 0.14 Time 2 to Time 3 0.01 (1,21) 0.95 1.00 0.02 Goal Setting (Total) Time 1 to Time 2 0.06 (1,21) 0.81 1.00 0.03 Time 1 to Time 3 0.42 (1,21) 0.52 1.00 0.08 Time 2 to Time 3 0.10 (1,21) 0.76 1.00 0.05 Positive Goal Attainment Time 1 to Time 2 0.03 (1,21) 0.87 1.00 0.03 Time 1 to Time 3 0.26 (1,21) 0.62 1.00 0.06 Time 2 to Time 3 0.05 (1,21) 0.83 1.00 0.03 Negative Goal Attainment Time 1 to Time 2 0.03 (1,21) 0.86 1.00 0.03 Time 1 to Time 3 0.24 (1,21) 0.63 1.00 0.09 Time 2 to Time 3 0.07 (1,21) 0.79 1.00 0.06 Emotional Intelligence (Total) Time 1 to Time 2 3.22 (1,21) 0.09 0.27 0.63 Time 1 to Time 3 4.26 (1,21) 0.05* 0.15 0.67 Time 2 to Time 3 0.12 (1,21) 0.73 1.00 0.07 Awareness of Own Emotions Time 1 to Time 2 0.04 (1,21) 0.84 1.00 0.04 Time 1 to Time 3 6.56 (1,21) 0.02* 0.06 0.63 Time 2 to Time 3 0.78 (1,21) 0.01* 0.03* 0.60 Ability to Discuss Own Emotions
Time 1 to Time 2 10.63 (1,21) 0.01* 0.03* 0.60 Time 1 to Time 3 4.53 (1,21) 0.05* 0.15 0.36 Time 2 to Time 3 1.85 (1,21) 0.19 0.57 0.23 Ability to Manage Own Emotions
Time 1 to Time 2 0.03 (1,21) 0.87 1.00 0.05 Time 1 to Time 3 0.63 (1,21) 0.43 1.00 0.19 Time 2 to Time 3 0.54 (1,21) 0.47 1.00 0.17 Awareness of Others’ Emotions Time 1 to Time 2 3.32 (1,21) 0.08 0.24 0.46 Time 1 to Time 3 2.52 (1,21) 0.13 0.39 0.38 Time 2 to Time 3 0.48 (1,21) 0.50 1.00 0.09 Ability to Manage Others’ Emotions
Time 1 to Time 2 2.60 (1,21) 0.12 0.36 0.40 Time 1 to Time 3 2.13 (1,21) 0.16 0.48 0.41 Time 2 to Time 3 0.03 (1,21) 0.86 1.00 0.04
* = p<0.05; ** = p<0.01
173.
Additionally, there were no significant changes in overall goal setting and its subscales.
There are, however, significant differences in several areas of the EI scale. There is a
significant increase (with a moderate effect size) in EI scores between Times 1 and 3
data collection periods. Second, there was a significant increase in ‘Awareness of Own
Emotions’ between Time 1 and 3, and between Times 2 and 3 data collections,
respectively (with moderate effect sizes). Finally, there were significant increases in
‘Ability to Discuss Own Emotions’ between Times 1 and 2 (moderate effect) and
between Times 1 and 3 data collections (small effect). As multiple significance tests
were conducted on the normative data a Bonferroni Correction (Bf) was undertaken to
check if significance levels were inflated due. The results of this test demonstrate that
only ‘Awareness of Own Emotions’ between times 2 and 3 and ‘Ability to Discuss Own
Emotions’ between times 1 and 2 remained significant.
Moderate Emotional Intelligence Scores
Table 69 presents the results of the moderate EI group. These results demonstrate
no change in citizenship performance or its related subscales across all the data
collection periods. In terms of EI, there were no changes in total EI. However, there was
a significant decrease in the respondents’ ‘Awareness of Own Emotions’, which
decreased from Times 1 to 2 and between Times 1 and 3 (both with small effect sizes).
The subscale ‘Ability to Manage Others’ Emotions’ significantly increased between
Times 1 and 2 with a small effect size. The respondents’ goal setting scores increased
between Times 1 and 2, but decreased between Times 2 and 3 (with small effect sizes).
Finally, ‘Negative Goal Attainment’ decreased between Times 2 and 3 data collections,
with a small effect. As with the low EI results, a Bonferroni correction was employed as
multiple significance tests were conducted on the data. Upon completion of this
analysis, only ‘Negative Goal Attainment’ between Times 2 and 3 remained significant.
High Emotional Intelligence Scores
The final planned comparisons were conducted on data collected from the high EI
group (presented in Table 70). As with the low and moderate EI groups presented
above, there was no change in citizenship performance across the three data collections.
There were also no changes in total goal setting or the two related subscales.
174.
Table 69 F Statistics and Effect Size (d) for Citizenship Performance, EI and Goal Setting for T1, T2 & T3 (Moderate EI – Normative Sample)
F (df) p Bf d Citizenship Performance (Total) Time 1 to Time 2 0.16 (1,46) 0.70 1.00 0.05 Time 1 to Time 3 0.04 (1,46) 0.84 1.00 0.03 Time 2 to Time 3 0.30 (1,46) 0.86 1.00 0.02 Interpersonal Facilitation Time 1 to Time 2 0.54 (1,46) 0.46 1.00 0.09 Time 1 to Time 3 0.08 (1,46) 0.78 1.00 0.02 Time 2 to Time 3 0.25 (1,46) 0.62 1.00 0.07 Job Dedication Time 1 to Time 2 0.00 (1,46) 1.00 1.00 0.00 Time 1 to Time 3 0.01 (1,46) 0.93 1.00 0.00 Time 2 to Time 3 0.01 (1,46) 0.93 1.00 0.00 Goal Setting (Total) Time 1 to Time 2 4.70 (1,46) 0.04* 0.12 0.24 Time 1 to Time 3 0.01 (1,46) 0.98 1.00 0.00 Time 2 to Time 3 3.93 (1,46) 0.05* 0.15 0.24 Positive Goal Attainment Time 1 to Time 2 2.86 (1,46) 0.10 0.30 0.17 Time 1 to Time 3 0.13 (1,46) 0.72 1.00 0.05 Time 2 to Time 3 1.19 (1,46) 0.28 0.84 0.13 Negative Goal Attainment Time 1 to Time 2 3.27 (1,46) 0.08 0.24 0.21 Time 1 to Time 3 0.38 (1,46) 0.54 1.00 0.08 Time 2 to Time 3 7.79 (1,46) 0.01* 0.03* 0.21 Emotional Intelligence (Total) Time 1 to Time 2 0.20 (1,46) 0.65 1.00 0.07 Time 1 to Time 3 0.03 (1,46) 0.85 1.00 0.03 Time 2 to Time 3 0.39 (1,46) 0.54 1.00 0.08 Awareness of Own Emotions Time 1 to Time 2 5.99 (1,46) 0.02* 0.06 0.42 Time 1 to Time 3 5.54 (1,46) 0.02* 0.06 0.38 Time 2 to Time 3 0.04 (1,46) 0.85 1.00 0.02 Ability to Discuss Own Emotions
Time 1 to Time 2 2.90 (1,46) 0.10 0.30 0.26 Time 1 to Time 3 0.73 (1,46) 0.40 1.00 0.16 Time 2 to Time 3 0.74 (1,46) 0.40 1.00 0.12 Ability to Manage Own Emotions
Time 1 to Time 2 0.75 (1,46) 0.39 1.00 0.12 Time 1 to Time 3 2.57 (1,46) 0.12 0.36 0.25 Time 2 to Time 3 0.73 (1,46) 0.39 1.00 0.11 Awareness of Others’ Emotions Time 1 to Time 2 0.18 (1,46) 0.68 1.00 0.07 Time 1 to Time 3 0.37 (1,46) 0.55 1.00 0.09 Time 2 to Time 3 0.01 (1,46) 0.93 1.00 0.01 Ability to Manage Others’ Emotions
Time 1 to Time 2 4.23 (1,46) 0.05* 0.15 0.26 Time 1 to Time 3 0.77 (1,46) 0.39 1.00 0.12 Time 2 to Time 3 0.93 (1,46) 0.34 1.00 0.12
* = p<0.05; ** = p<0.01
175.
Table 70 F Statistics and Effect Size (d) for Citizenship Performance, EI and Goal Setting for T1, T2 & T3 (High EI – Normative Sample)
F (df) p Bf d Citizenship Performance (Total) Time 1 to Time 2 0.45 (1,18) 0.51 1.00 0.15 Time 1 to Time 3 2.48 (1,18) 0.13 0.39 0.28 Time 2 to Time 3 1.09 (1,18) 0.31 0.93 0.12 Interpersonal Facilitation Time 1 to Time 2 1.00 (1,18) 0.33 0.99 0.20 Time 1 to Time 3 2.82 (1,18) 0.11 0.33 0.31 Time 2 to Time 3 0.31 (1,18) 0.59 1.00 0.09 Job Dedication Time 1 to Time 2 0.18 (1,18) 0.68 1.00 0.09 Time 1 to Time 3 1.43 (1,18) 0.25 0.75 0.26 Time 2 to Time 3 1.42 (1,18) 0.25 0.75 0.15 Goal Setting (Total) Time 1 to Time 2 0.00 (1,18) 0.99 1.00 0.00 Time 1 to Time 3 1.33 (1,18) 0.26 0.78 0.15 Time 2 to Time 3 0.47 (1,18) 0.50 1.00 0.16 Positive Goal Attainment Time 1 to Time 2 0.13 (1,18) 0.72 1.00 0.10 Time 1 to Time 3 0.94 (1,18) 0.35 1.00 0.16 Time 2 to Time 3 0.12 (1,18) 0.73 1.00 0.08 Negative Goal Attainment Time 1 to Time 2 0.88 (1,18) 0.36 1.00 0.18 Time 1 to Time 3 0.03 (1,18) 0.87 1.00 0.03 Time 2 to Time 3 0.87 (1,18) 0.37 1.00 0.21 Emotional Intelligence (Total) Time 1 to Time 2 3.38 (1,18) 0.08 0.24 0.47 Time 1 to Time 3 8.15 (1,18) 0.01* 0.03* 0.64 Time 2 to Time 3 1.69 (1,18) 0.21 0.63 0.17 Awareness of Own Emotions Time 1 to Time 2 3.75 (1,18) 0.07 0.21 0.35 Time 1 to Time 3 8.84 (1,18) 0.01* 0.03* 0.55 Time 2 to Time 3 2.45 (1,18) 0.14 0.42 0.26 Ability to Discuss Own Emotions
Time 1 to Time 2 0.04 (1,18) 0.86 1.00 0.05 Time 1 to Time 3 0.16 (1,18) 0.69 1.00 0.06 Time 2 to Time 3 0.01 (1,18) 0.96 1.00 0.01 Ability to Manage Own Emotions
Time 1 to Time 2 3.05 (1,18) 0.10 0.30 0.49 Time 1 to Time 3 3.50 (1,18) 0.08 0.24 0.55 Time 2 to Time 3 0.52 (1,18) 0.48 1.00 0.07 Awareness of Others’ Emotions Time 1 to Time 2 2.64 (1,18) 0.12 0.36 0.44 Time 1 to Time 3 6.67 (1,18) 0.02* 0.06 0.61 Time 2 to Time 3 0.89 (1,18) 0.36 1.00 0.19 Ability to Manage Others’ Emotions
Time 1 to Time 2 1.58 (1,18) 0.23 0.69 0.26 Time 1 to Time 3 3.57 (1,18) 0.08 0.24 0.50 Time 2 to Time 3 1.08 (1,18) 0.31 0.93 0.27
* = p<0.05; ** = p<0.01
176.
However, there were significant decreases in total EI between Times 1 and 3
(moderate effect size), the ‘Awareness of Own Emotions’ between Times 1 and 3
(moderate effect size), and ‘Awareness of Others’ Emotions’ between Times 1 and 3
(moderate effect size). Bonferroni corrections revealed that these decreases were only
significant for total EI and ‘Awareness of Own Emotions’. A discussion of the results
from the normative group will be presented at the end of this chapter.
Emotional Intelligence Training ANOVA Results (Study 2)
As with the normative sample, the repeated measures ANOVAs were conducted
on the low, moderate and high EI data samples with planned comparisons using
citizenship performance, EI and goal setting (including their respective subscales) as
dependent variables and Time (Times 1 and 2) as the within-subjects factors. The results
of these analyses are presented in Tables 71, 72 and 73.
Table 71 (low EI) reveals that for each of the citizenship dimensions there were no
significant changes from pre-training to post-training. Based on these results,
Hypothesis 4a was not supported. In terms of goal setting, both the overall goal setting
scale and ‘Positive Goal Process’ significantly improved from pre- to post–training, thus
partially supporting Hypothesis 4b . The effect sizes of these changes were, however,
small. There was a significant increase in total EI and all subscales except for
‘Awareness of Own Emotions’. These results were supported by calculating the effect
sizes. Total ‘EI’ had a large effect size, while the remainder of the subscales revealed
moderate effect sizes. Based on these results, Hypothesis 4c is supported.
Table 72 (moderate EI) reveals no changes in citizenship performance or goal
setting scores from pre- to post–training, thus supporting Hypotheses 5a and 5b. There
was a significant change in the overall EI, including the subscales of ‘Ability to Discuss
Own Emotions’ and ‘Ability to Manage Others’ Emotions’, which increased
significantly (with a small effect size). Based on these results, Hypothesis 5c was not
supported.
177.
Table 71 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, Goal Setting and EI from Pre- to Post-program for EI Training Sample (Low EI, n = 41)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.99 0.29 (1,40) 0.59 0.09
Interpersonal Facilitation 1.00 0.00 (1.40) 0.98 0.00
Job Dedication 0.99 0.54 (1,40) 0.47 0.12
Goal Setting (Total) 0.90 4.61 (1,40) 0.04* 0.20
Positive Goal Attainment 0.90 4.29 (1,40) 0.05* 0.20
Negative Goal Attainment 0.97 1.42 (1,40) 0.24 0.15
Emotional Intelligence (Total) 0.63 23.58 (1,40) 0.00* 0.98
Awareness of Own Emotions 0.96 1.87 (1,40) 0.18 0.25
Ability to Discuss Own Emotions 0.76 12.38 (1,40) 0.01* 0.62
Ability to Manage Own Emotions 0.81 9.56 (1,40) 0.01* 0.42
Awareness of Others’ Emotions 0.75 13.26 (1,40) 0.01* 0.71
Ability to Manage Others’ Emotions 0.68 18.73 (1,40) 0.00* 0.72
* = p<0.05; ** = p<0.01
Table 72 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, Goal Setting and EI from Pre- to Post-program for EI Training Sample (Moderate EI, n = 82)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.98 1.84 (1,81) 0.18 0.14
Interpersonal Facilitation 0.96 3.43 (1,81) 0.07 0.22
Job Dedication 0.99 0.47 (1,81) 0.50 0.09
Goal Setting (Total) 0.97 2.29 (1,81) 0.13 0.12
Positive Goal Attainment 0.98 1.30 (1,81) 0.26 0.08
Negative Goal Attainment 0.98 1.83 (1,81) 0.18 0.12
Emotional Intelligence (Total) 0.94 5.59 (1,81) 0.02* 0.30
Awareness of Own Emotions 1.00 0.02 (1,81) 0.89 0.01
Ability to Discuss Own Emotions 0.90 8.85 (1,81) 0.01* 0.30
Ability to Manage Own Emotions 1.00 0.01 (1,81) 0.92 0.00
Awareness of Others’ Emotions 0.97 2.77 (1,81) 0.10 0.22
Ability to Manage Others’ Emotions 0.87 10.44 (1,81) 0.01* 0.27
* = p<0.05; ** = p<0.01
For the high EI group (Table 73), there was no change in overall citizenship
performance. However, there was a significant (with moderate effect size) decrease in
the subscale ‘Interpersonal Facilitation’; thus, partially supporting Hypothesis 6a. A
178.
significant decrease was revealed for the goal setting subscale ‘Negative Goal
Attainment’ (small effect size); thus, partially supporting Hypothesis 6b. Finally, there
was no change in overall EI, except for the subscale ‘Ability to Manage Own Emotions’,
which decreased significantly (small effect size). Based on these results, Hypothesis 6c
was partially supported.
Table 73 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, Goal Setting and EI from Pre- to Post-program for EI Training Sample (High EI, n = 38)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.91 3.87 (1,37) 0.06 0.28
Interpersonal Facilitation 0.81 8.49 (1,37) -0.01* -0.50
Job Dedication 0.99 0.46 (1,37) 0.50 0.09
Goal Setting (Total) 0.94 2.29 (1,37) 0.14 0.19
Positive Goal Attainment 1.00 0.16 (1,37) 0.70 0.06
Negative Goal Attainment 0.83 7.49 (1,37) -0.01 -0.36
Emotional Intelligence (Total) 0.92 3.22 (1,37) 0.08 0.33
Awareness of Own Emotions 0.93 2.68 (1,37) 0.11 0.36
Ability to Discuss Own Emotions 0.99 0.46 (1,37) 0.50 0.12
Ability to Manage Own Emotions 0.85 6.80 (1,37) -0.01* -0.42
Awareness of Others’ Emotions 0.96 1.37 (1,37) 0.25 0.21
Ability to Manage Others’ Emotions 0.99 0.22 (1,37) 0.65 0.10
* = p<0.05; ** = p<0.01
Interpersonal Skills Training ANOVA Results (Study 3)
Using the same procedure outlined for the normative and EI trained samples, data
collected from the IS trained participants were analysed. The results are presented in
Tables 74, 75 and 76.
Table 74 (low EI) first reveals that there was a significant increase (with a small
effect size) for overall citizenship performance. Additionally ‘Interpersonal Facilitation’
significantly increased with a medium effect size calculation, thus supporting
Hypothesis 7a. Hypothesis 7b was not supported as no changes in goal setting for the
low EI group were revealed. There were, however, improvements (with large effect
sizes) in total EI, ‘Awareness of Own Emotions’ and ‘Ability to Discuss Own
Emotions’, which support Hypothesis 7c.
179.
Table 74 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, EI and Goal Setting from Pre- to Post-program for IS Training Sample (Low EI, n = 20)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.81 4.33 (1,19) 0.05* 0.36
Interpersonal Facilitation 0.76 6.07 (1,19) 0.02* 0.55
Job Dedication 0.99 0.13 (1,19) 0.72 0.08
Goal Setting (Total) 1.00 0.00 (1,19) 0.99 0.00
Positive Goal Attainment 0.99 0.16 (1,19) 0.70 0.06
Negative Goal Attainment 0.98 0.39 (1,19) 0.54 0.11
Emotional Intelligence (Total) 0.60 12.82 (1,19) 0.01* 1.01
Awareness of Own Emotions 0.45 23.44 (1,19) 0.00** 0.89
Ability to Discuss Own Emotions 0.48 20.74 (1,19) 0.00** 1.09
Ability to Manage Own Emotions 0.85 3.25 (1,19) 0.09 0.32
Awareness of Others’ Emotions 0.89 2.41 (1,19) 0.14 0.38
Ability to Manage Others’ Emotions 0.88 2.65 (1,19) 0.12 0.49
* = p<0.05; ** = p<0.01
Analysis of the moderate EI group revealed that there were no significant changes
in citizenship performance, goal setting, or EI. These results do not support Hypothesis
8a and 8b, but do however, support hypothesis 8c. The Full results are presented in
Table 75.
Finally, Table 76 demonstrates that there were no changes in citizenship
performance and goal setting for the high EI group. These results do not support
Hypothesis 9a and 9b. Additionally, there was no change in overall EI for this group
and there was a decrease in the participants’ ‘Awareness of Own Emotions’. Based on
this result, Hypothesis 9c is partially supported.
180.
Table 75 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, EI and Goal Setting from Pre- to Post-program for IS Training Sample (Moderate EI, n = 41)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.98 0.81 (1,40) 0.37 0.09
Interpersonal Facilitation 1.00 0.03 (1,40) 0.85 0.03
Job Dedication 0.97 1.07 (1,40) 0.31 0.11
Goal Setting (Total) 1.00 0.20 (1,40) 0.66 0.02
Positive Goal Attainment 0.99 0.51 (1,40) 0.48 0.05
Negative Goal Attainment 1.00 0.01 (1,40) 0.93 0.02
Emotional Intelligence (Total) 0.99 0.30 (1,40) 0.59 0.12
Awareness of Own Emotions 0.98 1.00 (1,40) 0.32 0.17
Ability to Discuss Own Emotions 0.98 0.72 (1,40) 0.40 0.13
Ability to Manage Own Emotions 0.99 0.24 (1,40) 0.63 0.07
Awareness of Others’ Emotions 1.00 0.03 (1,40) 0.88 0.04
Ability to Manage Others’ Emotions 0.94 2.43 (1,40) 0.13 0.22
* = p<0.05; ** = p<0.01
Table 76 Wilks’ Lambda, F Statistics, Effect Size (d) and Power for Citizenship Performance, EI and Goal Setting from Pre- to Post-program for IS Training Sample (High EI, n = 20)
Wilks’ Lambda
F (df) p d
Citizenship Performance (Total) 0.99 0.16 (1,19) 0.70 0.06
Interpersonal Facilitation 0.94 1.30 (1,19) 0.27 0.16
Job Dedication 1.00 0.05 (1,19) 0.83 0.03
Goal Setting (Total) 0.99 0.23 (1,19) 0.64 0.06
Positive Goal Attainment 0.93 1.38 (1,19) 0.25 0.14
Negative Goal Attainment 0.99 0.20 (1,19) 0.66 0.07
Emotional Intelligence (Total) 1.00 0.01 (1,19) 0.91 0.23
Awareness of Own Emotions 0.78 5.22 (1,19) 0.03* 0.66
Ability to Discuss Own Emotions 0.98 0.33 (1,19) 0.57 0.19
Ability to Manage Own Emotions 1.00 0.00 (1,19) 0.99 0.02
Awareness of Others’ Emotions 0.99 0.12 (1,19) 0.74 0.07
Ability to Manage Others’ Emotions 0.99 2.11 (1,19) 0.16 0.34
* = p<0.05; ** = p<0.01
Discussion
To explore whether there were significant differences between the participants
attending the same training program (or within the normative sample), the participants
181.
from the normative sample, EI training and interpersonal training groups were allocated
into one of three groups (separately for each cohort) based on their Time 1 EI scores. A
trichotomised sampling method was used in keeping with a previous study conducted by
Jordan and his colleagues (Jordan et al., 2002). The first groups entitled ‘low EI’
comprised participants who reported their pre-training (Time 1) EI in the bottom 25% of
that particular sample. Participants whose EI scores fell within the 25–75% range were
allocated the ‘moderate EI’ groups. Finally, the participants whose pre-training scores
were in the top 25% of participants were labelled ‘high EI’ groups. Independent samples
t-tests, repeated measures MANOVAs and repeated measures ANOVAS were then
conducted using SPSS for Windows version 15.0 to explore whether there were
differences between the samples. As data were collected from the normative sample at
three points in time, planned comparisons were conducted.
What is clear from examining the combined results is that different forms of
training impact EI at differing levels in individuals depending on their pre-training EI.
These results both support and extend the research undertaken by Jordan et al. (2002).
Looking briefly at the results obtained from conducting repeated measures ANOVAs
with the normative group, it was found for the low EI participants ‘Awareness of Own
Emotions’ and ‘Ability to Discuss Emotions’ increased with small effect sizes. For the
moderate EI group, there was a small increase in overall goal setting, but a small
decrease in ‘Negative Goal Attainment’. The group with a high EI reported a small
decrease in overall EI and their ‘Awareness of Own Emotions’ between the three data
collections. These small variations were expected because participants became more
familiar with the content of the survey measure. It is argued that the re-administration of
the survey on a further two occasions created a response shift (Howard & Dailey, 1979)
that could lead to the participants spending more time reflecting on their behaviours and
then providing differing responses based on this reflection.
Low, moderate and high EI participants who received the EI intervention reported
a number of significant changes from pre- to post-training. The low EI group reported a
large increase in their overall EI and moderate increases in ‘Ability to Discuss Own
Emotions’, ‘Ability to Manage Own Emotions’, ‘Awareness of Others’ Emotions’ and
‘Ability to Manage Others’ Emotions’. The moderate EI participants saw small
increases in ‘Ability to Discuss Own Emotions’ and ‘Ability to Manage Own
Emotions’. Interestingly, the high EI participants had a moderate decrease in
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‘Interpersonal Facilitation’ and small decreases in ‘Negative Goal Attainment’ and
‘Ability to Manage Own Emotions’.
The pattern of the changes between the low, moderate and high EI participants
suggests that participants with low EI gained the greatest benefit from the training
program, with the moderate EI participants reporting small increases in two areas.
Furthermore, although the high EI group reported significant decreases in three of the
surveyed areas, these decreases still demonstrate that the awareness of these participants
did increase as a result of the training (a realisation that they perhaps were not as skilled
in those areas as they had thought prior to training). Sadri and Snyder (1995) have
outlined that measurement between pre-training and post-training effectiveness for the
above-mentioned reason. A full discussion and rationale for these findings will be
presented in Chapter Eight.
Finally, those participants who received the IS intervention reported a differing
series of changes to the EI-trained group. The low EI participants reported small
increases in their overall citizenship performance and ‘Interpersonal Facilitation’, and
large increases in overall EI, ‘Awareness of Own Emotions’ and ‘Ability to Discuss
Own Emotions’. There were however, no changes in the moderate EI group and the high
EI group for citizenship performance or goal setting which was not expected. Both
groups reported no increase in overall EI with the high EI group reporting a moderate
decrease in their ‘Awareness of Own Emotions’ from pre- to post-training. Clearly,
these results demonstrate that the low EI participants increased their emotional abilities
in addition to their ability to work with others. Furthermore, the results demonstrate that
this training program’s impact was restricted to participants with low EI. As outlined
above, a full discussion of the importance of these results will be presented in Chapter
Eight.
Chapter Summary
The purpose of this chapter was to undertake a deeper examination of the results
obtained from data analyses presented in Chapters Five and Six of this thesis. From the
previous analyses, what could not be ascertained was whether the participants with
differing levels of EI at the Time 1 data collection (or pre-training) had differing
outcomes from the training programs examined within this research.
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Extending Jordan et al.’s (2002) work, the analyses conducted within this chapter
have allowed a clear comparison of the impact of each of the training interventions on
the participants who commenced the training program with differing levels of EI prior to
training. A brief discussion of the results has been presented within this chapter. The
following chapter of this thesis will explore in greater detail these and the overall results
obtained within this thesis.
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CHAPTER EIGHT
Integrating the Studies
Overview
The aim of this chapter is to integrate the results of the studies presented and
discussed in this thesis. The purpose of this research was to establish whether the skills
and abilities associated with the Mayer and Salovey (1997) four-branch model of EI can
be trained within organisations. A quasi-experimental design was used and enabled the
experimental results to be compared with a normative data sample collected from one
large public sector organisation. Training interventions and data were collected over an
eighteen-month period and analysed using a variety of statistical techniques in SPSS for
Windows version 15.0. The first part of this chapter will focus upon providing a brief
summary of the theoretical development and overarching research questions. Next,
results established from the analyses undertaken in Chapters Four to Seven will be
presented. This will then be followed by a full discussion of the outcomes of this
program of research.
Summary of Theoretical Development
As was mentioned in Chapter One the aim of the research program presented in
this thesis was to construct an EI-focused training program and then to examine the
impact of this training and an IS-focused training program in a workplace sample. A
wide range of studies examining the link between EI and specific work contexts are
currently being conducted and include the areas of organisational change (Huy, 1999:
2002: 2005), organisational structure (Sy & Côté, 2004), organisational learning
(Gabriel & Griffiths, 2002; Hopfl & Linstead, 1997), leadership (Barling et al., 2000;
Cooper & Sawaf, 1997; George, 2000; Mayer & Caruso, 2002; Palmer et al., 2001;
Wang & Huang, 2009; Zhou & George, 2003), entrepreneurship (Cross & Travaglione,
2003), work teams and work groups (Druskat & Wolff, 2001, 2008; Goleman et al.,
2002; Jordan et al., 2002; Sy et al., 2005; Wolff et al., 2002), performance (Austin,
2004; Côté & Miners, 2006; Day & Carroll, 2004; Jordan et al., 2002; Lam & Kirby,
2002; Tischler et al., 2002), job insecurity (Jordan et al., 2002), conflict (Jordan &
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Troth, 2004), interpersonal relations (Schutte et al., 2001) and psychological wellbeing
(Carmeli et al., 2009).
Many of the above mentioned researchers have noted that training to improve EI
skills and abilities may lead to individual and group improvements in these work
contexts (Barling et al., 2000; Elfenbein et al., 2007; Gardner & Stough, 2002; Riggio &
Reichard, 2008; Sy & Côté, 2004). To date, a variety of methods have been used to train
EI in the workplace, ranging from offering IS training as EI training (Cherniss & Adler,
2000; Lynn, 2002; Tucker, Sojka, Barone, & McCarthy, 2000) to full-blown emotions-
focused interventions (Brown, 2003; Nelis, Quoidbach, Mikolajczak, & Hansenne,
2009; Slaski & Cartwright, 2002, 2003; Wasseveld, Overbeeke, & Dersken, 2007). This
issue remains however, that few of these interventions have been subjected to
theoretical justification or empirical testing (Palmer, Walls, Burgess, & Stough, 2001).
Therefore, the research conducted in this thesis was based on the following research
questions:
3. Can individual emotional intelligence be increased through training
in:
a. Emotional Intelligence Skills?
b. Interpersonal Skills?
4. What is the relationship between emotional intelligence and:
a. Organisational Citizenship Behaviours?
b. Goal Setting?
Summary of Research
Normative Sample Outcomes (Study 1)
Chapter Four provided the results of the normative data analysis conducted to
examine the psychometric properties of the three scales contained within the ‘Emotions
in the Workplace’ survey measure. Because normative data were collected from a large
sample of participants at three points in time, principal axis factoring was employed to
establish stable measures of citizenship performance, EI and goal setting.
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The results revealed the existing factors with small changes to items for EI and
citizenship performance and a new factor structure for the goal setting scale. These
findings were consistent across the three data samples. Citizenship performance retained
its two-factor structure with ‘Interpersonal Facilitation’ containing eight items and a
‘Job Dedication’ consisting of five items. A five-factor solution was revealed for the EI
scale. The original 36 items were narrowed down to 24 items with the ‘Ability to
Facilitate Other’s Emotions’ subscale being excluded. The 26-item goal setting measure
was narrowed to 24 items with two clear factors emerging. These subscales were named
‘Positive Goal Process’ and ‘Negative Goal Process’ because the consequences of
successful and unsuccessful goal setting procedures were evident in the separate
subscales. This analysis provided the basis for the remaining analysis in this thesis.
Following the factor analysis, a series of repeated measures ANOVAS with
planned comparisons were conducted to answer the question of whether changes
occurred over time in the normative group. The results revealed no changes in
citizenship performance or goal setting over the eighteen-month data collection period.
The only change in the EI scale was a significant increase in ‘Ability to Discuss Own
Emotions’ (with a small effect size). Planned comparisons were conducted and showed
some variations in scores across time. In particular, ‘Negative Goal Attainment’ and
‘Awareness of Own Emotions’ significantly increased (although with a non-significant
effect size) from Time 1 to Time 2. Small increases were seen in the Time 1 to Time 2
‘Ability to Discuss Own Emotions’ and Ability to Manage Others’ Emotions’ subscales.
A full summary of the results are presented in Table 77.
Chapter Five explored the normative data set by examining the relationships
between the three measures contained within the Emotions in the Workplace survey.
First, Pearson product-moment correlations were conducted to uncover the relationships
between these variables. Second, standard multiple regression analyses were used to
determine the predictive power of EI on citizenship performance and goal setting.
The results for the EI and citizenship performance revealed significant correlations
between all items across the three data collections. Furthermore, ‘Ability to Manage
Own Emotions’ and ‘Ability to Manage Others’ Emotions’ emerged as significant
predictors of overall citizenship performance, ‘Interpersonal Facilitation’ and ‘Job
Dedication’. ‘Ability to Discuss Own Emotions’ significantly predicted ‘Interpersonal
Facilitation’.
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Table 77 Summary of All Results for Normative Sample
Total Low Moderate High Citizenship Performance (Total) Time 1 to Time 2 Time 1 to Time 3 Time 2 to Time 3
Interpersonal Facilitation (Total) Time 1 to Time 2 Time 1 to Time 3 Time 2 to Time 3
Job Dedication (Total) Time 1 to Time 2 Time 1 to Time 3 Time 2 to Time 3
Goal Setting (Total) * Time 1 to Time 2 *
Time 1 to Time 3 Time 2 to Time 3 *
Positive Goal Attainment (Total) Time 1 to Time 2 Time 1 to Time 3 Time 2 to Time 3
Negative Goal Attainment (Total) * Time 1 to Time 2 Time 1 to Time 3 Time 2 to Time 3 **
Emotional Intelligence (Total) * Time 1 to Time 2 Time 1 to Time 3 * * Time 2 to Time 3
Awareness of Own Emotions (Total) * * * Time 1 to Time 2 * *
Time 1 to Time 3 * * * Time 2 to Time 3 **
Ability to Discuss Own Emotions (Total) * **
Time 1 to Time 2 * **
Time 1 to Time 3 *
Time 2 to Time 3
Ability to Manage Own Emotions (Total) *
Time 1 to Time 2 Time 1 to Time 3 Time 2 to Time 3
Awareness of Others’ Emotions (Total) Time 1 to Time 2 Time 1 to Time 3 * Time 2 to Time 3
Ability to Manage Others’ Emotions (Total)
Time 1 to Time 2 *
Time 1 to Time 3 Time 2 to Time 3
* = p<.05; ** = p<.01; = small decrease (>0.20); = moderate decrease (>0.50); =
large decrease (>0.80); = small increase (>0.20); = moderate increase (>0.50); = large increase (>0.80)
188.
In terms of the EI and goal setting, the significant correlations between EI, goal
setting and ‘Positive Goal Process’ occurred at three points in time. No correlations
were uncovered between ‘Awareness of Others’ Emotions’, ‘Ability to Discuss Own
Emotions’ and ‘Ability to Manage Others’ Emotions’ and ‘Negative Goal Process’.
The regression results revealed ‘Ability to Discuss Own Emotions’ and ‘Ability to
Manage Own Emotions’ as significant predictors of goal setting and ‘Positive Goal
Process’ at all Times. ‘Awareness of Own Emotions’ was a predictor of ‘Negative Goal
Process’ over the three data collections.
Pearson product-moment correlations demonstrated that citizenship performance,
goal setting and ‘Positive Goal Process’ shared positive correlations at all times, while
‘Negative Goal Process’ had mixed results across the three data collections. Finally,
‘Interpersonal Facilitation’ was the only citizenship variable to emerge as a significant
predictor of goal setting and ‘Positive Goal Process’ at all times.
Emotional Intelligence Training Outcomes (Study 2)
Chapter Six provided the results of the analyses undertaken on data collected from
the EI-intervention participants. Repeated measures ANOVAs were conducted to
determine the impact the training had on EI, citizenship performance and goal setting
skills from pre- to post-training. Overall, there was a significant decrease (with a small
effect size) in the participants’ ‘Interpersonal Facilitation’, but significant increases
(with not noteworthy effect sizes) in overall EI, ‘Awareness of Others’ Emotions’ and
‘Ability to Manage Others’ Emotions’. ‘Ability to Discuss Own Emotions’ increased
significantly with a small effect size. There were no differences found in the overall goal
setting scale or its two subscales.
Interpersonal Skills Training Outcomes (Study 3)
Chapter Six also presented the results of the repeated measures ANOVAs on the
data collected from the IS training program. The results of these analyses revealed no
changes in citizenship performance or goal setting. There was a significant increase in
total EI (with a non-noteworthy effect size) and significant increases (with small effect
sizes) in ‘Ability to Discuss Own Emotions’ and ‘Ability to Manage Others Emotions’.
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Outcomes of the Low, Moderate and High Group Comparisons
Chapter Eight assessed whether different outcomes could be revealed if the
participants from each program were divided into low, moderate and high EI groups.
Changes from pre- to post-data collections were analysed using repeated measures
ANOVAs and planned comparisons for the normative sample. Because these results
have been presented in the previous chapter, Table 78 has been constructed to provide
an overall picture of the results from this chapter. The main results from the ANOVAs
conducted for Chapters Four, Five and Six are included.
Discussion of Overall Results
The results presented in Table 78 provide outline the key outcomes related to the
three studies conducted within this thesis. In particular, there are six main points of
interest that will be discussed in further detail.
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Table 78 Summary of Main Results
Normative Sample (Study 1)
Emotional Intelligence (Study 2)
Interpersonal Skills (Study 3)
Total Low Mod. High Total Low Mod. High Total Low Mod. High
Citizenship Performance (Total) *
Interpersonal Facilitation ** ** **
Job Dedication
Goal Setting (Total) * *
Positive Goal Attainment *
Negative Goal Attainment * **
Emotional Intelligence (Total) * ** ** * * **
Awareness of Own Emotions * * * ** *
Ability to Discuss Own Emotions * ** ** ** ** ** **
Ability to Manage Own Emotions ** **
Awareness of Others’ Emotions ** **
Ability to Manage Others’ Emotions * ** ** ** **
Key: * = p<0.05; ** = p<0.01; = small decrease (>0.20); = moderate decrease (>0.50); = large decrease (>0.80); = small increase (0.20); = moderate increase (>0.50); = large increase (>0.80)
191.
Point of Interest 1 – Awareness of Own Emotions
First, in terms of ‘Awareness of Own Emotions’, interesting results were revealed
for the normative study group. When ‘Awareness of Own Emotions’ is compared
between low, moderate and high EI groups, the low EI group reported a significant
increase (with small effect size) in their awareness, the moderate and high EI groups
both reported significant decreases (with moderate and small effect sizes, respectively).
What this result may suggest is that even though this group received no training
whatsoever, the process of completing the survey three times, and therefore becoming
increasingly familiar with the content, may have led to a change in the participants’
perceived ability in this area.
An interesting result for the EI-trained group was that there was no change in
‘Awareness of Own Emotions’. This may be due to a number of reasons. First, as
mentioned in Chapter Four the reliability was quite low for this item and may have
adversely impacted the results. Second, because the training program was only two days
in length, there may not have been sufficient time spent on this area with the
participants. Third, the participants might have needed additional time after the training
(longer than the two weeks given) to assess their own emotional reactions in the
situations. Fourth, the participants (overall, low and moderate EI participants) actually
reported significant increases in their ‘Ability to Discuss Own Emotions’, which
indicates that the participants were aware of their emotional experiences but, perhaps,
did not have the necessary skills to successfully articulate their feelings to others prior to
training. This is a feasible outcome of the training program, especially because the
majority of the activities during the program involved the participants discussing their
emotional reactions to workplace and non-workplace situations.
Point of Interest 2 – Self-Awareness the Main Outcome of Interpersonal
Skills Training for Low EI Participants
Although the EI training program had no impact on participant ‘Awareness of
Own Emotions’, the IS participants with low EI prior to training reported a large
increase in this ability. Although not hypothesized in Study three, on reflection, it is
understandable that the participants might pick up emotional awareness abilities from
the course content. For example, once the participants had ascertained their dominant
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conflict resolution style, they were then asked to recount to their work group a situation
where they used their dominant resolution style, but could have obtained a better
outcome for both parties had they used another style. Clearly, when a person is
experiencing a conflict with another party and the outcome is not the one the person was
hoping for, a range of emotions would be experienced. The process of discussing these
experiences and emotions during the training program would most likely have assisted
the participants to understand how they feel when they are faced with conflict. This
process, in turn, increased their ‘Awareness of Own Emotions’.
In addition to an increase in awareness, the low EI group reported large increases
in the overall EI and ‘Ability to Discuss Own Emotions’. Again, although these results
were not hypothesised, the outcome is feasible. As was discussed in Chapter Seven, the
design of the program allowed the participants to practice discussing their emotional
reaction to workplace situations in an open manner with their work colleagues and
teams. Therefore, these results could be attributed in part to the actual design of the
training itself.
The results outlined above support the notion that this type of training should be
targeted at differing groups including lower level staff members within organisations.
This is an important outcome of this research program, especially since organisations
routinely offer IS courses to all staff members. The results of this study show that
organisations must be very specific concerning whom they target for this type of training
to ensure they receive a return on their investment. The data demonstrate that this type
of training enables the participants to pick-up emotional abilities, albeit in selected areas
and at a lower level than those who received the pure EI intervention.
Point of Interest 3 – EI Training Has the Greatest Impact for Emotions-
Focused Training Participants with Low Emotional Intelligence
Moving to the results from the group who received the EI training, Table 78
demonstrates that while the overall changes in EI and related subscales were small when
the group were analysed as a whole (n =161), the low EI group reported a large increase
in their EI from pre- to post-training and moderate increases in several areas. Clearly,
these results indicate that the training intervention yielded significant outcomes for this
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group. Again, a conclusion that can be drawn from these data is that organisations
should target their EI training programs for those with low EI skills.
In addition to the positive outcomes for participants with low EI, there were small
increases in overall EI, ‘Ability to Discuss Emotions’ and ‘Ability to Manage Others’
Emotions’ for the moderate EI group. Although these results demonstrate that the
training program did not have a great overall impact on this group, the evaluation sheets
that were completed by the attendees supported that the training had been beneficial.
The following quotes demonstrated the positive reaction from the training participants,
‘very good — I have learnt something more about improving myself’, ‘good to know
about my emotions and the emotions of others and how to deal with them’, ‘these are
things we know from life; however, it is sometimes good to take time out to revisit and
reinforce them’ and, ‘overall good reinforcement of previous knowledge/experiences
from a different perspective. Good opportunity for team to work together on
understanding emotions and the importance they play in the workplace’. Nevertheless,
they further support the efficacy of the training program itself.
The results derived from the participants with high EI demonstrate that although
the training program is useful across the group as a whole, it does not provide these
participants with significant increases in their emotional skills and abilities. What is
noteworthy from this sample is that there was a significant decrease in the participants’
‘Ability to Manage Own Emotions’. Clearly, the training program changed the
participants’ perceptions of their emotional management abilities. Because the course
provided each participant with a range of emotional management techniques to try out,
it would have been beneficial to be able to survey these participants again after a longer
period of time to determine whether their skills and abilities changes further over time.
Point of Interest 4 – Ability to Discuss Emotions Improved For All Groups
Table 77 demonstrates that there was a small increase in ‘Ability to Discuss Own
Emotions’ across all three studies. These data suggest that, for the normative group, the
process of completing the Emotions in the Workplace Survey three times over a period
of eighteen months led the participants to be better at discussing their emotions in
general with others more so than they would have done previously. Furthermore, this
process did not provide these individuals with the ability to perceive others’ emotions
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nor to manage their own and others emotions, areas that did not change for the overall
normative group. In short, the survey raised awareness in this group, but did not provide
them with a way to develop their skills so that they could be more effective in the long
term.
Point of Interest 5 – Emotions Focused Training Yielded the Greatest
Impact Overall
The final point of interest revealed in Table 77 is that the group that received the
emotions-focused training program demonstrated the greatest change of the three groups
(normative, emotions-focused and IS). Although these changes were not always in the
positive direction, this training produced significant changes for the overall group and
for the participants with low, moderate and high EI. Perhaps the two greatest items
learned from these results are: first, if organisations wish to increase the EI of their
workforce, they should ensure that the employees receive emotions-focused training to
facilitate this process; and second, that emotions-focused training produces significant
increases in EI skills and abilities for those individuals who need them the most — those
with low EI.
Chapter Summary
The purpose of this chapter was to integrate the results from the normative (Study
1), EI (Study 2) and IS (Study 3) groups together to discuss the specific outcomes of
each study with regard to this thesis as a whole. First, a brief discussion of the results of
each of the studies was presented. This was then followed by an in-depth examination of
what these results mean to this program of study when they are examined together. The
results clearly demonstrate that the EI training program yielded significant benefits for
those participants with low and moderate EI prior to training. What is interesting is that
the mean EI scores for each of these groups were significantly higher than the normative
comparative group and the IS groups. This outcome increases confidence in the efficacy
of the EI program and its usefulness in organisational development programs. The
following chapter will conclude this thesis by outlining the contributions to theory and
practice and the limitations of the research program.
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CHAPTER NINE
Contributions, Limitations, Future Directions and Conclusions
Overview
The three studies presented in this thesis make a contribution in the growing body
of research being conducted in the field of EI and its impact on organisations.
Specifically, the research contributes to the debate over whether the skills and abilities
related to the four-branch model of EI can be trained. The aim of this chapter is to
provide a detailed description of the contributions to theory and practice that have
emerged from the studies conducted in this thesis. In addition, I provide an examination
of the limitations of the research I have conducted. Knowledge of the contributions and
limitations will then be combined to provide four main areas where future research in
the area might be undertaken. The chapter will close with the overall conclusions for
both the chapter and the thesis itself. In the following section of this chapter, the
implications of this research for both theory and practice are discussed in detail.
Research Contributions
Contributions to Theory
There are several contributions to theory resulting from the research program
conducted within this thesis. As outlined in the review of literature in Chapter Two, a
wide range of research has been conducted in examining the link between EI and
organisational improvements in such areas as organisational change (Huy, 2002),
organisational structure (Sy & Côté, 2004), organisational learning (Gabriel & Griffiths,
2002), leadership (Downey et al., 2005; Mandell & Pherwani, 2003; Rosete &
Ciarrochi, 2005), team research (Wolff et al., 2002; Offermann et al., 2004),
performance (Day & Carroll, 2004; Carmeli & Josman, 2006), conflict and negotiation
research (Jordan & Troth, 2004; Mueller & Curhan, 2006; Elfenbein et al., 2007) and IS
(Brackett et al., 2006; Lopes et al., 2005). A theme emerging from this research is that
the next logical step in increasing our understanding of the impact of EI in the
workplace is to determine whether the skills and abilities related to the construct can be
trained.
196.
The theory developed within this program of research has identified a link
between particular training techniques and EI abilities. Specifically, I identified broad
training programs that can be used to develop the skills and abilities of awareness of
emotion in self and others, facilitation of emotion in self and others, understanding of
emotion in self and others, and management of emotions in self and others. In Chapter
Three, I first linked the specific emotions-focused skills that have the potential to be
trained in the four-branches of EI. Then, I demonstrated how both these emotions-
focused skills and the wider ability branches of EI could link to the generic workplace
skills that are valued in organisations. These skills included, working with others and in
teams, dealing with change, balancing work and life demands, and dealing with
organisational change. The specific emotions-focused skills were then incorporated into
a training program and tested in an applied setting to determine their impact on
individual EI in organisations. In addition to training emotions-focused skills, IS were
trained in the same organisational setting and their impact on individual EI was
measured.
The findings from both the interpersonal and the EI training programs contribute
to the current EI training efficacy debate. In Chapter Three, I provided a clear
framework for why EI can be increased through training. Specifically, I explored the
notion that EI is a crystallized intelligence. Because improved crystallized intelligence is
linked to broader experiences (Horn & Cattell, 1966), I have been able to show that
there is a reasonable explanation for improvements in EI following a training regime
specifically designed to extend those abilities. If EI skills and abilities can be trained,
then this research provides evidence that EI is a crystallized intelligence. This has
important implications for both organisations and our understanding of EI as a
crystallized intelligence.
Contributions to Practice
In addition to the theoretical implications, there are a number of contributions in
practice that result from the research presented in this thesis. Specifically, the empirical
studies provide five significant practical contributions that enhance knowledge of, (1)
the practical outcomes of training EI, (2) the practical outcomes of training IS, (3) the
importance of assessing training programs for content, (4) selecting training appropriate
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to the skills that require development and, (5) the importance of assessing individuals
prior to training because those with low EI were shown to have the greatest benefit from
the training. The following section of this chapter will outline each of these
contributions in greater detail.
A significant practical implication for this research program would be for
organisations to understand what types of training increase EI. Study 2 examined the
impact of specific emotions-focused training developed around Mayer and Salovey’s
(1997) EI framework. The EI of the participants was statistically significantly increased
after two days of training. Further examination of the data revealed that low and mid-
range participants significantly improved their EI, while there was no significant
increase for participants with high EI. Clearly, these results demonstrate that emotions-
focused training is an effective tool for increasing EI, particularly for staff members
with low or mid-range EI.
The second part of Study 3 then assessed the outcomes of an IS training program.
Although I hypothesised that this training program would not impact EI, because the
program did not include specific emotions focused interventions, the participants
showed a statistically significant improvement after one day of training. Additional
analyses (reported in Chapter Seven) uncovered an important finding in that participants
with a low EI reported significant improvements (in accordance with the previous
research findings). The intervention had no significant impact on the mid-range and high
EI scoring participants.
The third contribution of this research is that as a result of these studies,
organisations can use these results to determine their choices about the training they
offer to staff. In particular, time and resource savings are gained from knowing the
actual impact of the interventions. When staff members are absent from their normal
work due to training and development programs, management generally sees the future
benefits of the training as outweighing their immediate costs. The results show that
while high-level training programs can increase EI in individuals, IS programs also
provide improvements.
The results also demonstrate distinct variations in the efficacy of the two
interventions when the differences in the participants are measured prior to training.
There are certain employees whose EI did not improve, despite attending training. For
these employees, training dollars be better spent on programs that deliver benefits for
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the employee and the organisation itself. Therefore, employees could be pre-tested to
select the most appropriate training for their needs. For example, the results indicate that
the IS program would have the greatest impact when used as a basic level program,
specifically targeting the lower EI-level employees, rather than an organisation-wide EI
improvement program.
Research Limitations
I acknowledge that there are several limitations to the research presented within
this thesis. As was discussed in Chapter Five, the main limitation of this research is the
use of a self-report measure to assess citizenship performance, EI and goal setting across
the three studies. While a rationale for the use of the each of the self-report measures
has been provided, and I am confident in the results that have been presented, there
remains a possibility that post-training increases may have occurred owing to a ‘feel
good’ factor. More specifically, issues that may arise from the use of self-report
measures include response distortions and common method variance (CMV) (as a result
of using one single survey administration with no separation between the dependent and
independent variables). However, the analysis of the panel data set in Study 1 suggests
that the results are not the product of CMV.
Podsakoff et al. (2003), propose four main sources of CMV including common
source or rater, item characteristic, item context, and measurement context effects. First,
common source or rater issues may occur due to the consistency motif (respondents
attempt to respond consistently across the survey), implicit theories (respondents distort
their responses due to the perception that certain survey items share relationships),
social desirability (respondents answer questions in ways they perceive are socially
acceptable and not necessarily in line with their true feelings), acquiescence bias
(respondents agree or disagree with statements regardless of their content), mood state
(a respondents propensity to view themselves and the world around them as generally
positive or negative and thus yielding overly positive or negative survey responses)
(Spector, 2006), and transient mood state (although positive and negative mood states
are fairly stable, recent events may cause a short-term change in the respondent’s mood,
resulting in biased responses) (Podsakoff et al, 2003).
199.
The second potential source of CMV stem from item characteristic effects
(Podsakoff et al, 2003). These effects occur due to item social desirability (items are
worded to illicit more socially desirable responses (Spector, 2006)), item ambiguity (the
wording of items is complex or ambiguous), common scale formats and anchors
(responses require less cognitive processing than mixed scales), and negative item
wording (respondents may fail to recognise negatively worded items in the
questionnaire).
The next source of CMV can occur due to what Podsakoff et al. (2003) define as
item context effects. Item context effects include item priming effects (asking
respondents to respond to items in one work area may increase the saliency of other
areas when subsequently asked) , item embeddedness (neutrally worded questions are
often answered in the same way as the questions they are presented with (either positive
or negative)), context-induced mood (the way in which items are worded can induce a
transient mood), scale length (longer scales increase respondent fatigue whereas shorter
scales can increase the likelihood of similarity of responses across scales), and
intermixing of items (respondents have difficulty distinguishing between different and
similar constructs).
Finally, measurement context effects are the final sources of CMV that have the
potential to impact this research. These effects include the simultaneous (time and
location) measurement of criterion and predictor variables (respondents may respond in
similar ways to these variables due to short-term memory effects), and predictor and
criterion variables measured using the same medium (for example through interview
techniques can illicit more socially desirable responses) (Podsakoff et al, 2003).
Of the sources listed above, there are two types of response distortions that could
have a potential impact on the outcomes of this research. These are extreme and
moderacy response bias (known as the consistency effect, Schmitt, 1994) and the social
desirability bias (Howard & Dailey, 1979; Razavi, 2001). Extreme and moderate
responses are a particular issue with a self-report measure that uses rating scales (such
as those used within this thesis). Extreme response bias refers to the participants
consistently selecting responses at the extreme points of a Likert-type scale; whereas,
the moderacy response bias refers to the participants consistently ‘middling’ their
responses (Razavi, 2001). Therefore, it is possible that the respondents may have
distorted their responses in these ways.
200.
Next, the social desirability bias refers to the propensity for self-report
respondents to consciously or unconsciously provide answers that will present them in a
favourable light (Crowne & Marlowe, 1960, 1964; Edwards, 1957). Answering
questions in a socially-desirable manner can lead to the concealment of true
relationships within the data (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). Again,
this bias could have impacted the results presented in this thesis, especially in the post-
training survey iteration. I point out, however, that the purpose of the training was self-
development and that the individual scores were kept confidential. There would be no
advantage for respondents deliberately falsifying their responses.
Podsakoff et al. (2003, p. 887) propose several ‘procedural remedies’ that can be
undertaken to reduce the impact of biases in research. First, reports by others (such as
peers, supervisors or independent observers) and objective measures can be employed.
Second, the separation of measures (temporal, proximal, psychological or
methodological) may be advantageous. Third, measures that ensure the respondents’
anonymity can reduce the occurrences of socially-desirable behaviours. Finally, the
authors propose that mixing items from differing scales within the overall measure
could counter biases.
Separation of measures (time periods between survey iterations) and respondent
anonymity (the use of a unique identifiers) were employed within the studies (Podsakoff
et al., 2003). The inclusion of additional measures would have allowed comparisons of
data to be conducted; however, it should be noted that there are also bias issues
associated with alternative ratings (see Spector, 1994). In terms of mixing the items
within the survey, Peterson (2000) contends that this technique interrupts the logical
progression of the survey items. Therefore, rather than using this method, mixed Likert-
type scales (five and seven items) were used. Because the purpose of the research was
individual self-development, the research participants may have had reduced the
propensity to fake because they would only be lying to themselves.
A further limitation of the study is the lack of tangible evidence that can be
provided to the organisation regarding the overall impact of the training programs.
Organisations that invest in training and development of their staff do so with the clear
goal of increasing staff performance and profitability. Although this research has
improved the EI skills and abilities of employees within the organisation, it is not so
clear what the actual performance outcomes of these training programs have been. Prior
201.
to embarking on this type of training, organisations would want evidence of the actual
performance outcomes that result from such a program. Although clear links to work
competencies, such as team work, conflict resolution, dealing with change and dealing
with work demands, were outlined, there was no scope to collect these data within this
research program.
Time constraints were also a limitation of the overall research program. As has
been outlined within this thesis the EI and IS training programs were completed over
two-and-a-half and one-and-a-half days respectively. Although additional time was
requested, organisational demands prevented this from occurring. Had the additional
time been granted, a greater range of materials could have been used in both training
programs. As time was constrained, a series of choices regarding the content of training
were required and resulted in some content that would have been beneficial being
omitted from the training programs.
Finally, as discussed in Chapter Seven regression to the mean (RTM) a statistical
phenomenon that could provide alternate explanations for the results of comparisons
between low, moderate and high EI groups (Barnett et al., 2004; Cheng, 1997; Marsh &
Hau, 2002; Yudkin & Stratton, 1994; Zimmerman, 1992). This issue was partially
overcome by ensuring equivalency between group means at pre-test and by conducting
statistical analyses on the data and comparing the results to the normative sample. The
issue could have been further overcome by conducting at least two pre-test measures of
EI with each group prior to either the EI or IS intervention and therefore, should be
employed in future research examining the impact of training on the EI of participants.
While I acknowledge the above limitations, the data for the three studies do
provide consistent evidence of the positive effect of the training interventions on
participants’ EI. In particular, the results for the normative group (no change in three
surveys over an eighteen-month period) demonstrate the stability of the measures used.
In addition, the small (but statistically significant) increases in EI for Study 1 – Analyses
1 and 2 provide confidence that the results are not greatly affected by response bias
issues. Had the post-test results been larger than expected, bias issues would have
needed to be explored in further detail.
202.
Future Research Directions
The following section of this chapter provides an outline of the future research
opportunities that have been identified as stemming from the research presented in this
thesis. In total, three main suggestions for future research are proposed. These are, (1) a
formal experimental research design, (2) alternative measures for the independent and
dependent variables and, (3) alternative delivery options for the interventions. These
suggestions could be undertaken by researchers to extend the research presented in this
thesis and, furthermore, to broaden the empirical research into the efficacy of EI
training.
A Formal Experimental Research Design
The constraints of working in an applied research setting means it was difficult to
implement a true experimental design. Therefore, rather than employing a normative
sample, I propose that a true control group sample should be employed for future
research projects. In addition to completing the survey measures, the control group
would take part in performance exercises identical to those completed by the
experimental groups.
With respect to survey iterations, the normative group completed surveys at three
points in time with a six-month period between the completions. The experimental
groups, however, only completed their surveys at two points in time (prior to training
and after the follow-up training session). Future research could employ three survey
completions by all groups involved within the research. Within this design, the first
survey should be completed by the control and experimental groups prior to any
interventions taking place. The research team could then take a six-month period to
provide training to the experimental groups. Survey 2 would then be completed by the
control and experimental groups. During the next six months, the experimental group
would attend a follow-up and refresher training session. Survey 3 would then be
completed by all the groups (approximately six months after Survey 2).
Because all groups would be completing the three surveys at approximately the
same time during the research project, a clear picture of the exact outcomes of the
training interventions could then be compared with the control group sample. This
203.
research design improvement would provide additional opportunities for data analysis to
be completed on the panel data that would be collected from each group.
In addition to the benefits outlined above, the inclusion of organisational
performance data could improve the research design. When organisations invest in
training and development activities for their staff members, they need to ensure that
performance improves as a result. The inclusion of supervisor rated performance data
through pre- and post-training surveys of participant citizenship behaviours (Borman &
Motowidlo; 1998) within the research design would enable the organisation involved
within the project to understand the performance benefits that should result from
participant involvement within the training program.
To ensure consistency across the project, set tasks and independent performance
appraisals from managers could be undertaken by both the control and experimental
groups at three points during the project to clearly assess the performance improvements
associated with the training. These performance tasks would be sufficiently different to
counter the impact of repeat effects on the performance improvements. Performance
Activity 1 would be completed by all groups after completing Survey 1. Performance
Activity 2 would then be completed after the follow-up training had been attended by
the experimental groups. Finally, Performance Activity 3 would then be completed after
the third survey had been completed by the control and experimental groups. The actual
performance appraisal data from the participants’ managers could be collected to
determine the performance improvements.
Alternative Measures of the Independent and Dependent Variables
A question that can be asked in any research that uses survey measures within its
design is, ‘are there a more appropriate measures that could be used to measure the
independent and dependent variables within the research project?’ In this research
program, the WEIP-6 was used to measure the independent variable (EI) across the three
studies. The dependent variables were citizenship performance and goal setting, again,
measured through self-report measures.
As mentioned in the limitations section of this chapter, the use of a self-report
measure is a clear drawback in the research design. Therefore, it is proposed that future
research projects should include (in addition to a self-report) peer, 360-degree and
204.
retrospective measures or perhaps the MSCEIT (Mayer et al., 2002) or the newer STEU
and STEM measures of EI (Libbrecht et al., 2009; MaCann & Roberts, 2008). The
WEIP-6 (Jordan et al., 2002) includes a peer version and could be easily completed by
the control and experimental groups’ fellow team members at the Times 1, 2 and 3
survey iterations. In addition, the participants’ supervisors or managers could complete
360-degree versions of the measure.
A further opportunity to provide additional validation for the results obtained
through the survey measures is the use of a Retrospective Pre-test (Lamb & Tschillard,
2005; Pratt et al., 2000; Sadri & Snyder, 1995). This measure would be completed by
participants at the Time 2 and 3 survey iterations. The Retrospective Pre-test allows the
participants to reflect on their actual skills and abilities prior to training.
In addition to the data collected through a survey method, the participants
undertaking the training could be asked to take part in qualitative interviews regarding
the specific impacts of the training programs they had been involved in. Qualitative
interviews would allow the researchers to ask the participants for specific examples of
how the training program had benefited them within the workplace (Denzin & Lincoln,
1994; Foddy, 1993).
In addition to conducting interviews with the participants of the interventions, the
supervisors or managers of staff who complete the training programs could be
interviewed by the research team. Again, questions could be asked to further understand
the improvements and implications the training had yielded for the individual, their
work team and the organisation.
Alternative Delivery Options for the Interventions
In addition to the above recommendations, the question could then be asked,
‘which of the four branches of EI can be trained for the maximum effect?’ Therefore,
the training in the specific abilities to partial out the effect of these specific abilities to
each of the four branches of EI would be a beneficial inclusion in future research.
The training programs conducted as part of this thesis were conducted by a team
of facilitators over either a two-day period (EI training) or a one-day period (IS training).
Future research projects could offer the training in different formats. In a discussion, the
organisation taking part in this research project commented on the desirability of
205.
conducting the training in smaller parcels. In particular, they commented that it would
be far easier for intact work teams to receive the training in four-hour blocks over an
extended period of time, rather than the whole team being absent from the workplace for
two full days.
Therefore, I propose a future design possibility is for the training to be
administered for some groups in the existing one- or two-day format, while, for other
groups, the training is delivered in smaller four-hour training blocks over an extended
period of time. Again, splitting the experimental groups between the different
facilitation formats allows the researchers to ascertain the facilitation method that
provides the optimum results for the participants and the organisation itself.
Chapter Summary
This thesis has presented and discussed the results of three studies conducted to
add to the debate on whether EI skills and abilities can be trained. The research was
undertaken in a large public sector organisation in Queensland, Australia, over an
eighteen-month period. Using a quasi-experimental design, the participants from the
organisation were allocated into a normative group and two experimental groups. The
participants from each group completed the ‘Emotions in the Workplace Survey’. The
participants from the experimental groups then took part in either an EI or an IS training
program.
The results of the three studies have shown that EI can be increased through
training interventions. The participants who were trained in EI skills and abilities
reported an increased EI from the pre-training to the post-training surveys. Furthermore,
the results revealed the greatest increases occurred in those participants reporting low EI
scores prior to training. Specific emotions-focused training was also found to increase
the EI of the participants reporting mid-range pre-training scores. Interestingly, those
participants with high EI scores reported no change from pre- to post-training.
Despite hypothesising that the training of IS would not lead to increases in EI, I
found that this type of training did lead to increases in EI and particularly for the
participants that reported low EI scores prior to training. However, when the survey
results of the mid-range and high EI participants were examined, there were no changes
in EI for either group.
206.
The results of the three studies have provided a range of contributions for both
theory and practice. The contributions to the theory include the discovery that providing
certain types of training techniques can improve the EI. Furthermore, I have ascertained
that EI is a crystallized intelligence. In terms of contributions to practice, this research
has provided organisations with the knowledge of what types of training increase the EI.
Additionally, this research has demonstrated that the type of training chosen to increase
the EI can be appropriately chosen if the existing individual skills are ascertained.
In addition, a series of limitations have been identified and acknowledged. The
limitations highlighted within this thesis include the use of a self-report measure and the
issues associated with the various response biases and the common method variance.
Finally, a series of future directions for research into the training of EI have been
identified. These suggestions outline a number of opportunities for future research,
including, a formal experimental design, performance exercises completed within the
project, additional measures for the independent and dependent variables and, alternate
delivery of the interventions outlined in Study 2.
207.
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APPENDIX A
The Positivist and Post-Positivist Paradigms
In recent times, some researchers have questioned the ontological, epistemological
and methodological assumptions supported by the positivist paradigm, so much so that
many researchers now go so far as to totally reject positivism and its claims (Crotty,
1998; Johnson & Duberley, 2000; Nueman, 2000). Despite its many critics, positivism
still remains today perhaps the most widely-used foundations by which research in the
management and organisational sciences is underpinned (Benton & Craib, 2001;
Johnson & Duberley, 2000). In terms of its theoretical foundations, positivism supports
a realist ontology, a dualist/objectivist epistemology and an experimental/manipulative
methodology (Guba & Lincoln, 1994; Lincoln & Guba, 2000; Nueman, 2000).
Post-positivism has emerged as a research paradigm resulting from the previously
mentioned attacks on positivism (Lincoln & Guba, 2000). Popper has often been cited
as an instrumental party in bringing about the demise of positivism and heralding the
beginning of a new post-positivist paradigm (Benton & Craib, 2001; Crotty, 1998;
Johnson & Duberley, 2000). Popper’s attack on logical positivism centred upon several
areas. Popper attacked the inductive/verification basis of positivism, replacing it with
deductive/falsification principles (Johnson & Duberley, 2000; Nueman, 2000).
Unlike positivism’s claim that truth is apprehendable, the hypothetico-deductive
method proposed by Popper supports that it is impossible to ascertain absolute truth
(Crotty, 1998; Donaldson, 2003). In addition, where positivism aimed to protect science,
including the social sciences from metaphysics, Popper argued that it is metaphysics that
often serves as the basis from which science actually emerges (Johnson & Duberley,
2000; Trigg, 2001). Table 79 presents the main distinctions Popper described between
positivism and his form of post-positivism.
232.
Table 79 Popper’s Distinctions of Positivism and Post-positivism
Positivism Post-positivism
Inductive Deductive
Verification Falsification
Excludes Metaphysics Metaphysics as Frontrunners of Science
Proves Knowledge Claims Disproves Knowledge Claims
(Source: Johnson & Duberley, 2000)
Post-positivism does not provide a total rejection of positivisms’ ideals; however,
post-positivism does support an approach to management and organisational studies
claiming that research can never be completely objective and that reality can never be
totally captured (Crotty, 1998; Guba, 1990; Guba & Lincoln, 1994). Post-positivism is
based upon a critical realist ontology (what is the nature of reality?), a modified
objectivist epistemology (the relationship between the knowledge and the inquirer) and
a modified experimental methodology (the strategy used to reach the desired outcomes)
and as such, stands as a research paradigm in its own right (Crotty, 1998; Guba, 1990;
Phillips, 1990). The ontological, epistemological and methodological positions of
positivism and post-positivism are presented broadly in Table 80.
Table 80 Philosophical Differences between Positivism and Post-positivism Positivism Postpositivism
Ontology Realism (naïve) Critical Realism
Epistemology Dualist/Objectivist Modified Dualist/Objectivist
Methodology Experimental/Manipulative Modified Experimental/ Manipulative
(Source: Guba & Lincoln, 1994)
233.
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234.
APPENDIX B
The Emotional Intelligence Intervention
Training Awareness of Emotions
Individuals express their emotions in response to events. These events could be
happening immediately, remembered, imagined or even anticipated (Ekman, 1993).
These cues come in the form of verbal and non-verbal behaviours and allow individuals
to communicate their emotions to others in addition to themselves (Planalp, 1999). EI
training should focus upon the skills that enable individuals to be aware of their own
emotions and the emotions of others in their work teams. The initial ideas for training
that were proposed to achieve these outcomes included: emotional perception training
involving self-awareness questionnaires (Sheldon, 1996); perception of others
questionnaires (Riggio, 1986); interventions focused upon the recognition of facial
expressions (Ekman, 1999, 2003, 2003); verbal, action and body cues (Planalp, 1999);
and exercises in tuning individuals listening skills (Lynn, 2002).
These initial ideas were then used as the foundation from which a series of
training exercises were then constructed. The first exercise that was developed for the
training program was designed to build the awareness of an individual’s own emotions
and the emotions experienced by others in the workplace.
Awareness of Own and Other’s Emotions at Work
The awareness of own and others’ emotions at work activity was devised to
encourage each individual to think about the situations in which they have found
themselves within the workplace that lead them to feeling specific emotions, such as
happiness, sadness, pride and disappointment. Once each participant identifies and
reflects upon a situation when one of these emotions has occurred, they will be asked to
reflect upon how these emotions made them feel and how they reacted at the time they
had experienced these emotions. Moving on from reflecting on their own feelings and
reactions, individuals were asked to reflect on how these emotions and the behaviours
they had encountered impacted upon others in their team. A final part of this exercise
was to facilitate a group discussion of the emotions experienced by individuals and their
effects the individual themselves and their work colleagues.
235.
The JOHARI Window
An integral part of effective team relationships is the appropriate use of feedback
and disclosure in interpersonal interactions. Awareness of own and others’ emotions can
be developed through this process. According to the assumptions of the JOHARI
window, each individual has four separate areas where specific thoughts, behaviours and
feelings are placed. These windows include the open, blind, closed and unknown areas.
The differences in these areas lie in whether the information contained within these
areas is either known to self or known to others.
The open area consists of thoughts behaviours and feelings that are both known to
self and known to others. In short, this is the information that is widely known about
you. The blind area consists of the thoughts behaviours and feelings that others’ can see
in you, but, at present, the individual does not see in themselves. The closed area is
contains the thoughts behaviours and feelings that the individual is aware of, but does
not let others know about them. Finally, the unknown area consists of the thoughts,
behaviours and feelings that neither the individual nor the others’ know about that
individual, because there has not been a situation occurring where these thoughts,
behaviours and feelings have needed to be accessed.
An effective way to increase awareness of emotions, own and others, within the
workplace is through the two areas of feedback and disclosure. The JOHARI window is
premised upon this principle. Through increasing the ‘open area’ through disclosure and
reducing the ‘blind area’ through the constructive use of feedback, there is less
opportunity for misunderstanding to occur. Essentially, disclosure entails revealing
thoughts, behaviours and feelings that are relevant to workplace situations. This
disclosure helps other team members to be more aware of an individual’s emotional
standpoint on particular subjects, therefore decreasing the possibility of
misunderstandings occurring.
Feedback, on the other hand, is about an individual allowing their fellow team
members to give them feedback on the thoughts, behaviours and feelings that they are
unaware that that they are displaying within the workplace. This is, perhaps, a more
difficult process to come to terms with than disclosure, because no individual wants to
be told that they are acting negatively in a situation. However, welcoming constructive
feedback when it is offered again increases the individual’s awareness of their own
emotions, in addition to increasing their awareness of others’ emotional reactions.
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The JOHARI exercise constructed for the training program was adapted from
Harvey and Brown’s (1996) JOHARI window exercise. Within this exercise a series of
ten questions are posed, firstly in a self-report format for individuals to respond to about
themselves. Secondly, these questions are then asked of the individual’s peers. Once this
part of the exercise has been completed, individuals are able to plot these scores onto
two separate grids, one that demonstrates their self-perception of their JOHARI window
and the second which demonstrates others’ perception of the individuals JOHARI
window. To adapt this exercise to EI, eighteen separate items from the WEIP were
employed to determine a self and a peer assessment.
Reflective Diaries
As mentioned in the previous exercises, a large part of becoming more aware of
the emotions we experience is through the process of reflection. Reflecting back on
situations where both positive and negative emotions that have been experienced, and
thinking through what went right, what went wrong and what would be done differently
next time in a given situation, can equip individuals with an increased ability to be more
aware of the emotions they are experiencing. The reflective diary exercise, adapted from
Caruso and Salovey’s (2004) reflective exercises, will allow individuals attending the
program to do exactly this. Time was allocated on the first day of training for each
individual to take their reflective diary and write down how a particular positive or
negative event had unfolded in the past. The diary includes a list of differing basic
emotions and their high and low intensity states. In addition, the diary asks the
individual to write down; first, some information to set the scene for what happened
during the event. Questions such as ‘what time did this happen’, ‘where did this happen’
and, ‘who was involved’ will assist the individual to reflect back on the event. They
were then asked to circle which emotions they had experienced and how intensely these
events were experienced.
From this point, four questions are asked. These are as follows, ‘what did I want
to do?’, ‘what did I actually do’, ‘on reflection, what should I have done?’ and ‘what
would I do next time?’ Participants who may have not used a diary before may have
been apprehensive about writing down their thoughts and feelings in a diary. With this
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in mind, the facilitators encouraged participants to attempt the process and assured them
that they would never be asked to divulge the contents of these diaries.
Organisational Storytelling
As a final awareness of emotions exercise and to lead into the facilitation of
emotions part of the workshop, an organisational storytelling session is facilitated. The
framework for the session is based around positive and negative events that have
happened within the team environment or the wider organisation. To ensure the success
of the session, several ground rules are put in place to ensure the session’s success. First,
any individual telling a story is required to do the following, first to tell the story, second
to identify the emotions that they experienced at the time of the event and, thirdly what
the morals or the lessons that they/their team had learned from experiencing the
particular event.
Importantly, participants are asked to agree that the contents of more sensitive
stories are not divulged outside of the training environment. Individuals retelling stories
are asked to make the group aware if this is the case. On the other hand, stories which
tell of specific organisational events (either positive or negative) or that would enable
newcomers within the organisation to know their fellow team members or the
organisation itself better are encouraged to be shared outside of the training program.
Through creating an environment for re-telling organisational stories within the training
program and providing a framework from which individuals can discuss their
experiences, emotions and the morals attached, the program participants can increase
their awareness of their own emotions and the emotions of others.
Training Facilitation of Emotions
There are many reasons why possessing skills in the assimilation of emotions
would be advantageous to individuals. Emotions can be facilitated to assist an
individual to take into consideration of other points of view. They can be harnessed to
assist an individual to recognise and prioritise options when making decisions.
Furthermore, individuals with the ability to use emotions in their cognitive processes are
able to let their emotions guide them when problem-solving (Zhou & George, 2003).
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The training interventions designed around this particular branch of EI focus upon
enhancing the above-mentioned skills. The initial thoughts of the interventions that
could be provided to increase the skills in this area included, exercises in facilitating
emotions to assist in decision-making and problem-solving cases (George, 2000;
Putnam & Mumby, 1993), exploring the positives and negatives of emotional contagion
(Barsade, 2002), activities in perspective-taking (Jordan. et al., 2002), building emotion
through music (Bruner, 1990; Planalp, 1999) and, building emotions through
storytelling (King & Down, 2001; Morgan & Dennehy, 1997; Van Buskirk & McGrath,
1992). Because the organisational storytelling session is deemed to impact both on the
awareness of emotions and the facilitation of emotions, the exercise is undertaken to
link the two parts of the training program.
Emotional Contagion
In the workplace, an emotion experienced by one person in the group can ‘infect’
other group members with the same emotion. This can obviously have both positive and
negative implications for group dynamics and performance. To demonstrate how
emotions can be infectious within the workplace, a short vignette demonstrating the
infectious nature of laughter will be presented at the beginning of this part of the course.
The facilitators will observe the emotional reactions of the course participants during
their viewing and give participants feedback on their behaviours (demonstrating
emotional contagion in action). Following this discussion, a definition of emotional
contagion will be presented. This definition is sourced from the work of Barsade (2002)
and includes examples of emotional contagion which include an enthusiastic person
raising the mood, a grumpy person dispensing gloom and, a sad person draining others.
Once the group has grasped an understanding of emotional contagion, a team
exercise is facilitated. Participants are asked to reflect upon the outcomes of both
positive and negative emotional contagion in the workplace. Within this exercise,
individuals are required to think of the positive outcomes of positive emotional
contagion, and when positive emotional contagion can have a negative outcome for the
team. The same will then be asked of negative emotions. An example of how positive
emotional contagion can have a negative outcome for a team is when detailed work
needs to be completed by the team (which requires concentration) and one team member
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is constantly disrupting the team with positive stories or jokes that are not relevant to the
work that needs to be carried out.
Following this part of the exercise, individuals will then be asked to share with
their small group, and then the wider team, the strategies that they employ in the
workplace to ‘infect’ others with either positive or negative emotions. In addition to
discussing their techniques, individuals will be asked to share their experiences of the
outcomes of creating these particular emotions in others.
Generating Emotions
Following a facilitated group discussion on the topic of emotional contagion and
the outcomes that individuals and teams within the training had experienced, a series of
research outcomes in the area of emotional contagion will be presented to the team. In
particular, the emotions of happiness, surprise, sadness, fear and anger will be
discussed. For example, research has shown that happiness leads to positive outcomes
of creativity, thinking outside the box and the generation of new ideas, while the
positive outcomes of anger are that the team is able to focus its energy on a justified
threat and generate enthusiasm to right a legitimate wrong. The facilitators can then link
these research findings to the strategies and learning that had been provided by the team
to demonstrate the groups’ learning from the exercise.
It is clear that there are positive workplace outcomes for possessing the ability to
generate specific emotions and create emotional contagion within the workplace.
Therefore, this session will provide the individuals with the skills to enable them to
generate specific emotions within the workplace. As a final exercise, details on how to
generate specific emotions will be shared with the group. Within this exercise, the
participants will be asked to work through the following five steps:
1. Selecting the emotion you wish to generate and recall a time when you felt this
emotion.
2. Retrieve an image of this situation.
3. Try to experience or feel the sensations that accompanied the emotion during the
situation.
4. Intensify the image and the sensations that were felt.
5. Always end on a positive note.
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Perspective Taking
In addition to the ability to generate specific emotions within the workplace, the
ability to facilitate emotions through ‘putting yourself in another person’s shoes’ is a
further skill of emotional facilitation that the training intervention will seek to impart to
the participants. In particular, the ability to ‘perspective-take’ through a three-step
process of reflection, explanation and inquiry is explained. Reflection entails the process
of becoming more aware of your own thinking and reasoning in workplace situations.
Explanation then involves enabling others to understand your thinking and reasoning
processes. Finally, the inquiry into the other person’s thinking and reasoning processes
enable individuals to facilitate their own emotions for perspective taking.
To practice the skills associated with perspective taking, individuals are instructed
to create two mind-maps of a particular interaction where another work colleague had
not had a positive outcome. The participants will be given a short overview of how to
create a mind-map and then, on two large pieces of paper, they will be asked, first, to
place details of the issue in the middle of the page. Then, on one sheet reflect, on what
they were feeling during the interaction, and then, on the other sheet, what may have
been happening for the other person at the time that led to the ineffectiveness of the
interaction. This exercise has been designed to encourage individuals to try to place
themselves in the other person’s shoes and therefore facilitate the emotions that the
other person may have been experiencing. The participants will then be encouraged to
use this technique as a starting point for future interactions both within and outside of
the workplace.
Training Understanding Emotions
Knowledge of emotions and their differing effects requires considerable skill.
Individuals who have a high understanding of emotions in themselves and in others
possess knowledge on the causes of emotion and the consequences of these emotions
(Zhou & George, 2003). Prior to constructing the training program, ideas about the
concepts and skills that could be taught to the training participants included, accurately
tuning into the emotions of others (Planalp, 1999), understanding emotional triggers,
knowledge of emotional progressions (George, 2000), understanding emotional
transitions (Jordan. et al., 2002) and, increasing individual ability to understand discrete
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and blended emotions in themselves and in others (Ekman & Friesen, 1975). These
initial ideas were the used to create a series of activities including, the continuum of
emotions (Plutchik, 1980), emotional progressions and transitions (George, 2000;
Mayer, Salovey, Caruso, & Sitarenios, 2001), emotional cycles (James, 2002; James &
Nahl, 2000) and, emotions and change (Danes, 2005; Kubler-Ross, 1973).
Plutchick’s Continuum of Emotions
To gain a wider knowledge of how emotions blend together and progress from
being low intensity to high intensity emotions, Plutchick’s continuum of emotions is
presented. According to Plutchick (1980), there are eight basic emotions, joy,
anticipation, anger, disgust, sadness, surprise, fear and trust. These basic emotions are
placed on the continuum and surrounded on each side by either lower or higher intensity
descriptions of that basic emotion. For example, sadness is surrounded by pensiveness
(less intense) on the one side, and grief (high intensity) on the other. In addition, the
continuum places names for the blending of two emotions in between the two basic
emotions. An example of this is optimism, which, according to Plutchick (1980), is a
blend of the basic emotions of anticipation and joy.
Within this activity participants are asked to consider how emotions can blend and
change over time; this will then lead to a wider exercise that will examine emotional
progressions.
Emotional Progressions
The building of a low intensity emotion into a high intensity emotion owing to a
series of events occurring is known as an emotional progression (George, 2000). An
example of an emotional progression is an anger progression (Caruso & Salovey, 2004).
During the progression, the emotions experienced may increase in intensity from
irritation to annoyance, frustration, upset, madness, anger, furiousness and rage. In
addition to negative emotional progressions, individuals can experience positive
emotional progressions. By learning to have a greater understanding of these emotional
progressions, individuals within teams can identify in themselves the progression of
emotions towards a particular emotional crescendo and take action before they become,
for example in an anger progression, enraged.
242.
To give meaning to emotional progressions, the individuals are asked to reflect on
a negative series of events that have led in the past to an intense emotional progression
in the workplace. Teams are asked to select from the examples one emotional
progression that they would like to discuss as a group. Teams are then asked to develop
a series of strategies that can be used to diffuse the emotional progression and share
their strategies with the larger training group.
Emotional Cycles
A further exercise to increase the participants’ knowledge of their own and others
emotions is in the form of understanding the impact of positive and negative emotional
cycles. Stemming from the work of James (2002) and James and Nahl (2000), the
outcomes of being in either a positive or negative emotional cycle will be explained in
the context of the consequences for self and consequences for others in the workplace.
For example, when an individual is in a positive emotional cycle, feelings self-
confidence and enthusiasm lead to optimistic and realistic thinking. This, in turn, leads
the individual to behave in self-enhancing ways. On the other hand, when an individual
is consumed by a negative emotional cycle, these feelings of self-confidence are
replaced with feelings of inadequacy or depression. These feeling then lead the
individual to think in pessimistic or cynical ways. These behaviours then manifest
themselves in self-destructive actions.
When individuals are within a positive or negative emotional cycles, there are not
only the impacts on the individuals’ behaviours, but upon their behaviours towards the
people around them (work colleagues, friends and family). During a positive emotional
cycle, an individual’s enthusiasm and self-confidence leads them to act in a supportive
and constructive manner towards others. Conversely, negative and self-destructive
individual behaviours lead to aggressive and destructive behaviours towards others.
Therefore, through increasing the understanding of emotional cycles, individuals
working within teams then work towards creating positive emotional cycles within the
work setting. In this way, a supportive, constructive and self-enhancing working
environment can be created by the team.
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Emotions and Change
In addition to increasing the knowledge of positive and negative emotional cycles,
understanding the emotions that are experienced during change is explained during the
training program. In particular, organisational change will used as a platform to discuss
this topic. Change has been chosen specifically because organisational change is now
commonplace within organisations and can lead to specific emotional reactions from
individuals, based upon how the change is dealt with within the organisation. Adapted
from the change model included in Kulber-Ross’s (1973) book entitled ‘On Death and
Dying’ that examines the emotional cycle of grief, Danes (2005) has examined this
model in the context of organisational change. This model will then be used to explain
the emotional stages of the change process and facilitate a group exercise whereby the
stages of change can be discussed.
As mentioned above, there are five stages that an individual/team encounters
during the process of moving from ‘normal’ functioning (before the change is
announced) to the ‘new way’ of functioning (after the organisational change process has
been completed). Stage 1 is known as the shock and denial stage. During this time,
individuals and teams within the organisation are only just becoming aware that the
change itself is taking place. Emotions and behaviours within this stage include,
avoidance of the situation, confusion about what is happening, fear about the future,
numbness and disbelief that the change is occurring and, blaming differing parties
within the organisation for the stress that is ensuing.
Feelings of anger then start to surface during the second stage of the change cycle.
At this point, the individual/team are moving past the initial shock of change and
beginning to feel emotions such as, frustration, anxiety, irritation, embarrassment and
shame. It is during this stage that the individuals vent their frustrations on each other. It
is at this stage that the organisational grapevine starts, adding further fuel to the
irritation and frustration of the organisational members. Further to these feelings of
anger and frustration, some individuals experience the secondary emotions of shame and
embarrassment, especially if they perceive that the organisational change is a result of a
shortcoming on their behalf.
The third stage of the change cycle is characterised by depression and detachment.
At this point in the change process, individuals and their teams are feeling
overwhelmed, helplessness and the anger subsides into a lack of energy. If this stage is
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left unattended by the organisation, these feelings of negativity and lethargy filter
through the organisation, impacting any person involved in the process.
It is at the fourth stage, known as the dialogue and bargaining that an attempt to
move on is undertaken by the team. At this point, the team/individual has reached the
lowest point (Stage 3 – depression and detachment) and is beginning to try to find away
to get through the process. This stage is where the need for individuals to communicate
and discuss their points of view is paramount. Through the process of discussion and
storytelling, individuals and teams can seek to find a meaning behind the change that is
occurring.
It is worth noting at this point, that each effected individual and team within an
organisation will move through the stages of the cycle at their own pace. In addition,
individuals within the cycle do not always progress in a forwards motion through to the
‘new way’. What often occurs is a swing backwards to either the shock and denial or
anger stages when new information comes to light that the individual was not aware of
previously. It is worth noting that unless the individual understands that the stages
within this process are natural reactions to change and that, with effort, each stage can
be worked though, the individuals may find themselves wallowing in depression and
detachment.
The fifth and final stage of the cycle is concerned with acceptance. Once the
team/individual can understand (but still not necessarily agree with) the change that is
occurring, only then can they move forward to the acceptance stage. This stage is
characterised by the individual, team and even the organisation as a whole, putting
forward a new plan of action on how things will be from now on. Only once this state
has been satisfied and an understanding of the change is fully understood can the team
return to a meaningful life incorporating their ‘new way’ of functioning.
To build an understanding of the emotions that occur within the change process,
teams are asked to discuss a change that has occurred within their organisation and to
identify individual reactions at each of the five stages outlined above. From this point,
teams then brainstorm the strategies that they could use to help themselves and others to
understand and work through the emotions being experienced during each stage. At the
end of the exercise, the team then has a template from which to work when change
occurs again within their workplace.
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Training Management of Emotions
The training program culminates with the last branch of EI — the management of
emotions. Individuals regulate their emotions in the workplace for many different
reasons. These include the management of their emotional states, influencing the
emotions of others, goal advancement, facilitation of common goals and, the support of
social norms (Planalp, 1999). Therefore, the training interventions based around the
fourth branch of EI will focus upon assisting individuals to improve their regulation of
their emotions to improve the performance within their work teams. The initial ideas for
the training of emotional management training involved emotional control exercises
(Riggio, 1986), reframing emotions activities (Ekman & Friesen, 1975) and coping with
emotions interventions (Lazarus & Folkman, 1984). This initial information search
inspired the exercises that were specifically constructed for the training program.
Emotional Repair
The first management of emotions discussion and activity focused on emotional
repair. Emotional repair is the process of ‘getting through’ emotional events that happen
to individuals within the workplace and in non-work life. Several techniques for
overcoming specific emotional events will be discussed with the participants including,
being aware of the emotions we experience, choosing how to control the emotion being
experienced, whether engagement or disengagement techniques would provide the best
outcome for self and others and, how life experiences can equip individuals with
additional management abilities.
After a discussion on emotional repair, the participants are asked to recall and
discuss with their fellow team members the events that had been hard for them to get
through. Once they had covered the situation, they are then asked to discuss what
techniques they used at that time to get through the experience and whether these
techniques led to positive or negative outcomes both for themselves and for others
involved in the situation. Team members are encouraged to offer techniques and
suggestions at this stage of the exercise and to take ‘on board’ the comments and
suggestions offered by their team.
246.
Building Resiliency
Once the teams had been given ample opportunity to discuss their emotional
repair techniques and a debriefing had been facilitated, the topic of building resiliency is
introduced. According to Carlopio et al. (1997), there are three separate resilience
categories that, if attended to by individuals, can equip them with the skills and
knowledge to manage their and others emotions. The first category of resilience is
physiological resilience. This type of resilience refers to the things individuals do to
look after their bodies, such as cardiovascular conditioning and a proper diet.
Participants will be briefed on a range of ways to maintain an optimum weight,
strengthening the cardiovascular system and the foods and drinks that should be avoided
when individuals are feeling stressed or anxious.
The second category of resiliency is psychological resiliency. Psychological
resiliency refers to maintaining a balance in life to ensure that an individual’s
psychological needs are met. A balanced lifestyle can be obtained by reaching a balance
between work, intellectual, social, family, spiritual, physical and cultural aspects.
Balance does not mean that there should be identical time designated to each area, but
that there should be aspects of each incorporated into normal life. To demonstrate to the
participants how balanced their lives are in terms of each of these aspects, an activity
entitled the resiliency wheel (Carlopio et al., 1997) will be undertaken. Each participant
is supplied with a handout with each of the balanced lifestyle aspects contained within a
large ‘wheel’. The participants are instructed to shade in each of the pieces of the wheel
to indicate how fully they attended to each of the different areas. Once this has been
completed, each individual possesses a visual representation of those areas where they
need to devote more effort to achieving a balance. As a final part of this activity, each
participant is asked to make a list of the activities that they could undertake to resolve
any imbalances they have highlighted in their individual wheels.
The third and final resiliency category that will then be introduced to the training
group will be social resiliency. Social resiliency is made up of three separate facets.
These are supportive social relationships, team support and mentor support. By ensuring
that fruitful relationships are created and maintained in each of these areas, an individual
can use the support that can be garnered from these areas. As is the case with many
individuals, support is often sought from close family members; however, mobilising
support from social, team and mentor relationships can lead to enhanced social
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resiliency. Individuals within the training will be reminded at this stage that they are
often each other’s social, team and mentor support network, and that these relationships
should be encouraged within their work environment.
Techniques to Manage Emotions
The final activity for both the management of the emotions branch and the training
program will be the identification of short-term emotion-management techniques. First,
an explanation of disengaging and engaging with emotions to manage emotions will be
provided. In some circumstances it would not be fruitful for an individual to engage
with the emotions they are experiencing. The disengagement of emotions refers to
‘turning your back’ on the emotion in a specific situation and only allowing yourself to
process the non-emotional aspects of the situation. Although there are circumstances
when this can be an effective way to deal with certain situations, using this as the only
technique for managing emotions can have long-term consequences. Therefore,
engaging with emotions is a technique that can be used by individuals to manage their
emotions. Emotional engagement can be as simple as acknowledging that a certain
situation leads to particular emotions (such as anger, disgust etc.), but not attempting to
solve the problem at that point. Engagement can also be achieved through emotional
reappraisal. Reappraisal involves changing your frame of reference from negative to
positive.
Once a discussion of emotional engagement and disengagement is completed, the
participants are asked to reflect on the ways that they generally manage their emotions,
either at home and within the workplace. After they had come up with a list of
strategies, they are asked to reflect upon which of these strategies usually works well (or
has a positive outcome for both themselves and others) and which do not work so well
(does not solve the problem or has a negative outcome for self or others). A whole-
group discussion and sharing of these strategies is then undertaken with the group until a
whiteboard has been filled with positive emotion management techniques. As a final
part to this exercise and to finish off the training, each individual is asked to choose
several emotion-management techniques from the list on the whiteboard that they had
either never tried or would like to attempt. The individuals are then asked in the training
follow-up about the success of their newfound techniques for managing their emotions.
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APPENDIX C
Emotional Intelligence Training Slides
EMOTIONS IN THE
WORKPLACE
PROGRAM 2 TRAINING
Day 1 Schedule
Awareness of Emotions
Organisational Stories
What is Emotional Intelligence?
Managerial In-Box Task
Check in & Icebreaker
Icebreaker
A Truth & A Lie
• Think up one truth and one lie about
yourself
• Tell the group one thing about you that
is true and one thing that is a lie.
• The group’s task is to determine which
is the lie.
Managerial In-Box Task
• Read through the tasks contained within
the Managerial In-Box Task booklet.
• You have 15 minutes to prioritise the
tasks individually on the worksheet
provided.
• Rank your items from 1 – most important
to 15 – least important.
• Discuss your individual decisions with
your team.
• You now have 20 minutes to prioritise
your in-box with the other members of
your team.
• The team must reach consensus as to
the rating of each of the items.
Managerial In-Box Task
Debrief
• In your teams refer to the questions on
handout 3.
• Nominate one spokesperson from the
team to present the 2 key learnings of the
team.
• You have 15 minutes for your discussions.
251.
Individual Exercise
1. Think about your job over the last week.
2. What emotions have you experienced or witnessed in others?
3. Write each of these emotions on a post-it note.
4. Place your post-it notes on the board.
Team Discussion
1. Were there any patterns of emotions felt
by all team members?
2. If so, why do you think that you have all
felt these emotions in the workplace?
3. Discuss a situation over the last week
where you have felt or witnessed a
positive or negative emotion.
4. How did you react / behave in response to this emotion?
What is an Emotion?
Emotions consist of four separate parts:
1. What we think
2. What we feel
3. How our bodies react
4. How we behave
Emotions and Organisations
• Positive Emotions
– Affective Commitment (Loyalty)
– Enthusiasm
– Organizational Citizenship Behaviours
• Negative Emotions
– Withdrawal
– Lethargy
– Antisocial Behaviours
Primary & Secondary Appraisal
• Primary Appraisal
– evaluation of the situation as positive or negative
• Secondary Appraisal
– evaluation of own capacities and resources
to deal with the situation
Basic Emotions
• Anger
• Joy
• Fear
• Surprise
• Sadness
• Love
More Complex Emotions
• Disgust
• Shame
• Guilt
• Embarrassment
What is Emotional Intelligence?
Emotional Intelligence (EI) is made up of
four separate branches:
1. Awareness of Emotions
2. Emotional Knowledge
3. Facilitation of Emotions
4. Managing Emotions
Awareness of Emotions
• Emotional self-appraisal.
• Gauging the emotions of others.
• The ability to perceive false expressions of emotions.
252.
Emotional Knowledge
• Understanding of the causes of
emotions.
• Understanding the consequences of
emotions.
• Recognition of how emotions can blend
and also change over time.
Facilitation of Emotions
• Ability to alter emotions to assist with
information processing.
• Ability to generate emotions in self and
others appropriate to the situation.
• Enabling emotions in others – eg
motivational speaking
Managing Emotions
• The capacity to regulate and control emotions.
• The ability to influence the emotions of others .
Survey Feedback – EI
Emotional Intelligence
EI Total** Own Others**
Co
mp
ara
tiv
e S
co
re
Cairns CSC (n = 21) Sample (n = 90)
Survey Feedback - Citizenship
Organisational Citizenship
Interpersonal** Job Dedication
Co
mp
ara
tiv
e S
co
res
Cairns CSC (n = 21) Sample (n = 90)
Survey Feedback – Goal Setting
Supervisor Support *
Cairns CSC (n = 21) Sample (n = 90)
Raising Emotional Self Awareness
• Reflection on your own behaviour / thoughts / feelings
• Feedback from others on your behaviour
– Support team / individuals / significant others
– Coaching
• Assessment Instruments
• NOTE: Others can always observe your behaviour but can only assess your emotions if you display them
Awareness of Emotions at Work
1. Take some time to read over and fill out
your ‘Emotions at Work’ worksheet.
2. When doing this focus on two aspects
of each emotion:
1. What impact did the emotion have on your behaviour?
2. What impact did the emotion have on the mood of others in your workplace?
Team Discussion
1. Discuss your responses to the six
questions contained within the exercise.
2. What effects do different emotions have
on your own behaviour in the workplace?
3. What effects do these emotions also
have on others in the workplace?
4. Choose a speaker to report back 2 key
learnings of the team.
253.
The JOHARI Window
• A model that can be used to highlight & improve self
awareness & understanding between individuals
within a team.
• The window has four separate areas which represent information such as a person’s feelings or
motivations.
• The areas also determine whether this information is known or unknown by the person and also whether
the information is known or unknown by the team.
• The point of the JOHARI window is not the accuracy
of self and others assessment, but the differences between the two.
The JOHARI Window (2)
4.
Unknown Area
3.
Closed Area
2.
Blind Area
1.
Open Area
Known to Self Not Known to Self
Known to
Others
Not Known
to Others
The JOHARI Window (3)
1. Open Area• Consists of behaviours thoughts & feelings that both
you & others know.
2. Blind Area• Contains the behaviours, thoughts & feelings that are
not known by yourself, but are known to others.
3. Closed Area• Involves the thoughts, feelings & behaviours that are
known to oneself, but are not known by others.
4. Unknown Area• Includes the thoughts, feelings & behaviours that are
inaccessible to yourself & others.
JOHARI Window Assumptions
1. The larger the Open Area becomes, the
more effective team interactions will
become.
2. The Open Area can be increased & the
Closed Area can be reduced vertically
through Disclosure.
3. The Open Area can be increased & the
Blind Area can be reduced horizontally
through Feedback.
• Instructions
– On the JOHARI Rating Sheet place the names of each of your team members in the spaces provided.
– Now refer to the JOHARI Window Question Sheet and rate each team member and yourself according to the ten questions provided.
JOHARI Window Exercise
JOHARI Window Exercise
VALUE MEANING
5 Does this consistently
4 Does this most of the time
3 Does this frequently
2 Does this occasionally
1 Does this on rare occasions only
0 Never does this
N/A I cannot comment on this
• Instructions (continued)
– Transfer the results for the column entitled “Yourself” to the Your JOHARI WindowHandout.
– Transfer your scores across to the Feedback and Disclosure columns.
JOHARI Window Exercise
• Instructions (continued)
– Cut your JOHARI Window Rating Sheet into strips and hand them out to the other members of your team.
– Once you have all of your strips gathered together add up the results for each of the 10 questions and place the score in the Total From Others column on your Others JOHARI Window handout
JOHARI Window Exercise
– In column 2 write in the number of times you were evaluated.
– If you received a N/A for a question – do not count this as an evaluation.
– Divide your total score by the number of times evaluated and place in column 3.
– Transfer these scores into the relevant Feedback or Disclosure columns.
JOHARI Window Exercise
254.
– On the My Own & Other’s JOHARI Windows Handout firstly draw your Own JOHARI Window by:
• Plotting your Feedback result & drawing a vertical
line through your Feedback Score
• Plotting your Disclosure result & drawing a
horizontal line through you Disclosure Score.
– Repeat this process with the scores you received from your team to create your Others JOHARI Window.
JOHARI Window Exercise
Team Discussion
1. In what ways can this exercise enhance
your relationships with others?
2. In what ways can this exercise enhance
team members relationship with you?
3. Choose a team member to report back 2
key learnings to the rest of the team.
Reflective Diary
• The reflective diary gives you the opportunity to reflect on specific events that occur both within and outside of your workplace.
• You will be given the opportunity to write in your reflective diaries at various points during the next two days.
• In addition, use your diary as a tool to reflect on events in the workplace over the next two weeks.
Organisational Stories
• Stories as an insight to organisations.
• Stories can be positive or negative.
• Stories generally have a moral.
• Emotions are attached to those morals.
Team Exercise - Preparation
• In your teams develop or recount organisational stories that generate emotions within Main Roads.
• In addition highlight:
– The emotions that were felt &,
– The moral of the story
• You have 15 minutes to discuss and decide with your team which stories you would like to tell.
Day 2 Schedule
Organisational Stories Recap
Check Outs
Session Wrap-Up
Explanation of Follow-Up Day
Managing Emotions
Facilitating Emotions
Emotional Knowledge
Verbal Cues to Emotions
DisbeliefHigh Pitch, Drawn Out Speech
AngerTerse, Loud Tone
DefensivenessAbrupt Speech
SurpriseAscending Tone
EnthusiasmHigh Speed, Empathetic Pitch
DepressionSlow Speed & Pitch
BoredomMonotone
WHAT IT CAN
MEAN
TONE
Team Discussion
• Individually take 15 minutes to reflect on the organisational stories that have been shared (use your participant diaries).
• Discuss what emotions these stories generated in yourself.
• Discuss the effect organisational stories can have on the emotions of others in the workplace.
• Report 2 key learnings gained from this exercise.
Emotional Knowledge
255.
Emotional Knowledge
• Emotional Progressions
• Emotional Cycles
• Emotional Triggers
• Blended Emotions
• Emotional Transitions
The Continuum of Emotions
Emotional Progression
AngerIrritable
Annoyed
Frustrated
Upset
Mad
Angry
Furious
Enraged
Happiness
Positive
Calm
Content
Amused
Pleased
Happy
Joyous
FearAttentive
Wary
Edgy
Nervous
Worried
Fearful
Panicked
Emotional Progression Exercise
• In your team discuss and identify one
situation which has resulted in an
emotional progression (negative).
• Write this situation in detail on the paper
provided.
• Include on the paper the steps of the
emotional progression.
• In your team, develop strategies for diffusing the negative emotional progression at each of the steps.
• Be prepared to give an overview of the scenario to the group and the strategies you have developed for overcoming the negative emotional progressions in the situation.
• Report back to the team 2 key learningsfrom this exercise.
Emotional Progression Exercise
Negative Emotional Cycles
Decisions
(James, 2002)
Positive Emotional Cycles
Decisions
(James, 2002)
Emotional Cycles - Change
Emotional Facilitation
256.
What is emotional facilitation?
• Creating a mood appropriate to the
situation – emotional contagion
• Seeing things from others’ perspective
• Motivational Speaking
Emotional Contagion
The tendency to reflect another person’s
experience/expression.
Examples of emotional contagion include:
1. An enthusiastic person raising the mood
2. A grumpy person descending gloom
3. A sad person being draining of others
Team Discussion
1. What are the outcomes of positive
emotional contagion in the workplace?
2. What are the outcomes of negative
emotional contagion in the workplace?
3. Highlight strategies that you have used
successfully to ‘infect’ others with
specific emotions in your workplace.
4. Present 2 key learnings to the rest of the team.
Happiness
Leads to:
1. Creativity
2. Thinking outside the box
3. Looking beyond specific information
4. Idea generation
Surprise
Leads to:
• Our eyes are opened
• Our ears are opened
• We go into information seeking mode
Sadness
Leads to:
1. Consideration of problems that may
have been ignored previously
2. Realisation of where things went
wrong
Fear
Leads to:
1. Re-visiting old assumptions
2. Seeing new opportunities in the
familiar
Anger
Leads to:
1. A focus of energy on a justified threat
2. Gives us the energy to right a
legitimate wrong
Generating Specific Emotions
• Relax
• Develop your emotional imagination– Select the emotion you wish to generate
and think of a time when you felt this emotion.
– Retrieve an image of the situation.
– Try to experience or feel the sensations that accompany the emotion.
– Intensify the image and the sensations.
– End on a positive note.
257.
How to Change Moods Quickly
• Repeating statements such as:
– I am feeling good today
– I am very happy
– Today is a great day
– Things are looking up
– Others??????
Emotional Cycles Exercise
1. In your teams discuss situations which have involved an emotional reaction to a change cycle (personal or organisational).
2. What were the reactions to change of yourself and others?
3. What ways can you effectively move yourself/others through the change cycle?
4. Report back 2 key learnings.
Perspective Taking
• Seeing things from others’ viewpoint
• Why do we have different perspectives?
• How does this contribute to performance?
• When does it damage performance?
One View
The best lack all conviction while the
worst are full of passionate intensity
(The Second Coming,
William Butler Yeats, 1922)
Perspectives and Conclusions
• If we thought about each inference we made, life would pass us by.
• People can & do reach different conclusions.
• When we view our conclusions as obvious,
we don’t see a need to say why.
• During disagreements, conclusions are hurled from the tops of respective ladders.
• This escalates emotions and makes it hard
to resolve differences.
Managing Emotions
Managing Emotions
• Emotional Repair
• Disengagement from Emotions
• Engaging with Emotions
• Assisting Others to Process Emotions
How Mood can Influence
Feelings – Anger Example
Low
Low High
High If You Start in
a Bad Mood
If You Start in
a Good Mood
Fe
elin
g o
f A
ng
er
Intensity of Anger-Producing Event
What is Emotional Repair
• “Getting over it”
• “Losing gracefully”
• “Getting back on the horse”
• Others?????????????
258.
Techniques for Emotional Repair
• Emotional Self Awareness
• Emotional Control
• Experience
• Resiliency
– Physiological Resiliency
– Psychological Resiliency
– Social Resiliency
Physiological Resiliency
1. Cardiovascular conditioning
• Maintaining optimal weight
• Increasing psychological well-being
• Improving the cardiovascular system
2. Proper Diet
• Caffeine actually stimulates stress!
Psychological Resiliency
1. Balanced Lifestyle
• Work
• Intellectual
• Social
• Family
• Spiritual
• Physical
• Cultural
2. Deep Relaxation Techniques
Social Resiliency
1. Supportive Social Relationships
2. Team Support
3. Mentor Support
• Sharing of frustrations & disappointments
• Receive suggestions & encouragement
• Emotional bonding
Managing Emotions Techniques
• Writing
• Exercise
• Muscle Relaxation
• Deep Breathing
• Guided Imagery
• Rehearsal
• Reframing
• Disengagement from Emotions
• Engaging with Emotions
Disengaging from Emotions
Disengagement of emotions entails:
• “turning your back” on the emotion in a situation and only processing non-emotional, concrete information.
• Although there are situations when these techniques may be appropriate, there can be long term consequences if we continually suppress particular emotions.
Disengagement Techniques
• Avoidance of Emotions
– Turning away, removing ourselves or not getting involved.
• Denial of Emotions
– You choose not to act – your brain controls your impulse to show emotion.
Engaging with Emotions
Strategies for engaging with the emotions
we feel include:
• Emotional Reappraisal
– Change the way you view the emotion through focusing on the positive aspects of the situation rather than the negatives.
• Emotional Acknowledgement
– Recognise the emotions but then move on, not attempting to solve the problem.
Emotional Repair Exercise
• Discuss in your team situations where it has been difficult for you and/or others to “get over it” (It may be useful to write down the situation in your diary).
• Choose one situation from the team and write it down in detail on the paper provided making sure to detail:
– The end state of the person at the time of the situation.
– How the person feels and behaves right now towards the situation.
259.
• Devise strategies to assist the emotional
repair process in this situation.
• Be prepared to share these strategies
with the other teams.
Emotional Repair Exercise
Managing Emotions
1. Share with your team methods you have used to
manage your emotions both within and outside of the
workplace.
2. Which of these management strategies works well for you?
3. Which of these strategies do not work for you, yet
you continue to use?
4. Discuss with your team alternative emotion
management strategies to try over the next two weeks.
5. Nominate a spokesperson to report 2 key learnings.
Session Wrap-Up
1. Organisations are emotional arenas.
2. What is Emotional Intelligence.
3. Awareness of emotions
4. Understanding emotions
5. Facilitation of emotions
6. Management of emotions
Over the Next Two Weeks
• Keep writing in your diaries.
• Reflect on your JOHARI Window results – accept feedback and disclosure when appropriate.
• Share organisational stories with team members.
• Help yourself and others to diffuse emotional progressions as they happen.
• Practice mind mapping to assist with perspective taking.
• Practice the emotional management techniques suggested by your fellow team members.
Half-Day Workshop
1. Discuss your experiences in the
workplace in terms of your:
– Awareness of emotions in self and others
– Understanding of own and others emotions
– Facilitation of emotion in the workplace
– Management of emotions and techniques tried
2. Provide the opportunity for reflection.
3. Highlight areas for future development.
260.
APPENDIX D
The Interpersonal Skills Intervention
Supportive Communication
The first topic covered in the program is supportive communication. Session one
commences with an examination, understanding, practice and reflection of the eight principles of
supportive communication (Carlopio et al., 1997). This involves presenting each of the elements
in turn and providing examples of when these principles are practiced well and when these
principles are violated in workplace situations. Table 81 provides descriptions and definitions of
each of these eight elements. Following this an explanation of two team exercises that are
undertaken. The first of these examines a video vignette of an organisational situation where the
principles of supportive communication are violated. This vignette was sourced from the popular
UK television program, ‘The Office’. Teams are asked to identify the supportive communication
violations and to determine where the interaction could have been improved. The second activity
then asks the individuals to share with their teams an interaction where supportive
communication was violated and how this interaction could be improved by using supportive
communication techniques. The participants are instructed that they may choose either a
workplace or a non-workplace situation for the discussion.
261.
Table 81 Eight Elements of Supportive Communication
Element Description
1. Problem-oriented, not person-oriented
Person-orientation focuses upon the characteristics of the individual, not the event — communicates that the other person is inadequate. Reactions include defensiveness and confrontation.
Problem-orientation focuses on problems and solutions. It also focuses on behaviours and events, rather than on personality.
2. Congruent, not incongruent
Congruence is about matching the communication verbally and non-verbally to what the person is thinking and feeling. Incongruence example — a person is showing signs of anger, yet denies having that feeling.
3. Descriptive, not evaluative
Evaluative communication places labels on people such as ‘you are incompetent’. This perpetuates a defensive reaction in people. Descriptive Communication — describes the event, own reactions and consequences of the event/behaviour. DC also provides the opportunity for suggesting better alternatives and outcomes — not on who is right and who is wrong.
4. Validating, not invalidating
Invalidating = superiority-oriented, one-upmanship and rigid communication styles. Arouses negative feelings about self-worth, identity and relatedness to others. Validating helps people feel recognised, understood, accepted and valued. Four attributes of Validating — Egalitarian, flexible, two-way and based on agreement.
5. Specific,
not global
The more specific a statement is, the more useful it is. Global statements are too general. They are often extreme or absolute. This leads to defensiveness and disconfirmation. ‘You never ask for my advice’, ‘You have no consideration for the feelings of others’, ‘This job stinks’.
6. Conjunctive,
not disjunctive
Conjunctive — the next statement is linked to the previous. Disjunctive — the next statement has nothing to do with the last. Taking it in turns to speak, management of timing and topic control help to ensure that communication remains conjunctive.
7. Owned, not disowned
Owned — taking responsibility for statements and acknowledging that the source is ‘I’, ‘Me’ or ‘Mine’, not ‘We’ or ‘They’.
8. Supportive listening, not one-way listening
Listening and delivering supportive messages is as important as delivering supportive messages. Humans are only about 25% effective in listening — that is, we listen to and understand only a quarter of what we hear.
(Source: Carlopio et al., 1997)
Conflict Resolution
The second session then focuses upon understanding and building conflict resolution skills.
First, a description of the ladder of inference (Senge, Kleiner, Roberts, Ross, & Smith, 1994) is
262.
presented. This is followed by a team activity to explore ways to approach individuals and teams
from climbing up the ladder of inference. The ladder of inference is an effect model that can be
used to illustrate how conflicts can occur because of individual perceptions. Figure 5 presents the
ladder of inference and the environmental factors that lead to an individual making an
assumption about a person or situation.
Figure 5 The Ladder of Inference
(Source: Senge, Kleiner, Roberts, Ross, & Smith, 1994)
This activity is then followed by an explanation of the differences and the consequences of
functional and dysfunctional conflict (Amason, 1996; Robbins, 1974) and is then followed by
team reflection and discussion. Generally, functional conflict, that is, conflict that leads to a
positive outcome results in a reduction of complacency and stagnation, enhances creative
thinking and problem solving and can result in increased co-operation and motivation in the
workplace (Amason, 1996). Conversely, dysfunctional conflict is generally directed at a person,
rather than the actual problem (and violates the assumptions of supportive communication).
Dysfunctional conflict generally leads, at the least, to withdrawal, blaming and avoidance
263.
behaviours. At the worst, dysfunctional conflict has greater consequences, such as resentment,
aggressive behaviours and even violence (Amason, 1996).
Following the team discussion, the conflict resolution styles of avoiding, accommodating,
compromising, collaborating and forcing are outlined and explained (Thomas, 1976; Thomas &
Kilmann, 1974) and a final team activity is carried out. The participants are asked to discuss
situations where a conflict situation had become dysfunctional. They are then asked to identify
which conflict resolution style was used and what impact this style had on the relationship
between the parties. The groups are then asked to identify which resolutions style(s) may have
been more appropriate in the situation to facilitate a functional outcome. Table 82 presents a brief
description of each of these four styles.
Table 82 Conflict Resolution Styles
Style Description
FORCING Resolving the conflict situation by satisfying your own needs at the expense of others
COLLABORATING Resolving the conflict by seeking an advantageous solution for all parties involved
COMPROMISING Resolving the conflict by each party giving something up of value
AVOIDING Resolving conflict by withdrawing from or suppressing it
ACCOMMODATING Resolving the conflict situation by placing another’s needs and concerns above your own
(Source: Thomas & Kilmann, 1974)
Goal Setting
The final session of the workshop focused on goal setting. In particular, Vroom’s (1964)
expectancy theory is used to highlight the linkage between effort, performance and rewards and
their links to goal achievement. Locke and Latham’s (1990) goal setting theory was then
explained to demonstrate that when goals are specific, difficult, yet attainable, the motivation to
achieve these goals is increased. The participants are then introduced to the SMART (specific,
264.
measurable, attainable, realistic and time-bound) model of goal setting (Nelson & Quick, 2005).
This enables each individual to set their own goals to be achieved before the follow-up training
two weeks later. In particular, the participants are encouraged to set their goals within the three
areas covered within the training day.
265.
References
Amason, A. C. (1996). Distinguishing the effects of functional and dysfunctional conflict on strategic decision making: Resolving a paradox for top management teams. Academy of
Management Journal, 39(1), 123-149.
Carlopio, J., Andrewartha, G., & Armstrong, H. (1997). Developing Management Skills in
Australia.South Melbourne: Addison Wesley Longman.
Locke, E. A., & Latham, G. P. (1990). A theory of goal setting and task performance.Englewood
Cliffs, NJ: Prentice Hall.
Nelson, D. L., & Quick, J. C. (2005). Understanding organizational behavior (2nd ed.). Mason, OH: Thomson, South-Western.
Robbins, S. P. (1974). Managing organizational conflict: A non-traditional approach.Upper
Saddle River, NJ: Prentice Hall.
Senge, P., Kleiner, A., Roberts, C., Ross, R., & Smith, B. (1994). The fifth discipline fieldbook:
Strategies and tools for building a learning organization.London: Nicholas Brearley
Publishing.
Thomas, K. (1976). Conflict and conflict management. In M. D. Dunnette (Ed.), Handbook of
industrial and organizational psychology.New York: John Wiley and Sons.
Thomas, K. W., & Kilmann, R. H. (1974). Thomas-Kilmann conflict mode instrument.Tuxedo,
New York: Xicom.
Vroom, V. (1964). Work and motivation.New York: John Wiley.
266.
APPENDIX E
The Interpersonal Skills Intervention Slides
Emotions in the WorkplaceEmotions in the Workplace
Program 1Interpersonal Skills
Outline of Training DayOutline of Training Day
SESSION 1
Introductions & Welcome
Check-ins Group Activity
9.00 am – 10.30 am
MORNING TEA
SESSION 2
Supportive Communication Group Activities
10.45 am – 12.30 pm
LUNCH
SESSION 3
Forced Choices
Resolving Conflict in Teams Group Discussion Exercise
1.15 pm – 3.00 pm
AFTERNOON TEA
SESSION 4
Goal Setting & Motivation
Group Activity Individual Exercise
Follow-up Brief
3.15 pm – 4.30 pm
Session 2Session 2
Supportive Communication
Supportive CommunicationSupportive Communication
� What is it?
– Interpersonal communication
– Accurate and honest
– Maintains interpersonal relationships
� Why is it important?
– Overcomes feelings of threat
– Overcomes feelings of incompetence
SUPPORTIVE
COMMUNICATION
Elements of Supportive Elements of Supportive
CommunicationCommunicationProblem-Oriented,
not Person-Oriented
Congruent, not
Incongruent
Descriptive, not
Evaluative
Validating, not
Invalidating
Specific, and not
Global
Conjunctive, not
Disjunctive
Owned, not
Disowned
Supportive, not One
Way Listening
Active Listening Active Listening
The Five Golden RulesThe Five Golden Rules1. Shut up and listen
2. Pause Breathe and Relax
3. Present neutral non-verbals
4. Tune in
5. Check for understanding
267.
Supportive Communication Supportive Communication
ExerciseExercise
1. What principles of supportive communication are being violated?
2. How would you improve the situation using supportive communication?
Group ActivityGroup Activity
1. Individually, think of a situation you have been in where the elements of supportive communication were violated.
2. Discuss this situation with other members of your team.
3. As a group choose one of these situations and discuss how the interaction could have been improved through the use of supportive communication techniques.
Session 3Session 3
Resolving Conflict in Teams
DefinitionDefinition
Conflict is an expressed struggle within self, or between at least two parties who perceive incompatible goals, scarce resources, or interference from the other party/ies in achieving their goals.
(Borisoff & Victor, 1998)
Making SenseMaking Sense
� We cannot make decisions on all available information
� We make sense by gaining small bits of information and making inferences
� Inferences allow us to make sense of a situation
� Inferences are a major source of conflict
The Ladder of InferenceThe Ladder of Inference
ExamplesExamples
Addressing the ladder of Addressing the ladder of
inferenceinference
� Becoming more aware of your own thinking and reasoning (reflection);
� Making your thinking and reasoning more visible to others (explanation);
� Inquiring into others' thinking and reasoning (inquiry).
Group ActivityGroup Activity
1. Individually, think of a situation that you have been involved in, where you or another person leaped up the ladder of inference.
2. Discuss this situation with other members of your team.
3. What steps could you have taken or could have encouraged others to take to avoid leaping up the ladder of inference?
268.
Views on ConflictViews on Conflict
� Traditional perspective
– Conflict is bad
� Contemporary perspective
– Conflict is neither good or bad but inevitable
– Conflict can be productive
Relationship between Conflict Relationship between Conflict
and Effectivenessand Effectiveness
Performance
High
Low
Low High
Intensity of Conflict
too little or too much conflict is destructive
moderate levels of conflictare constructive
ConflictConflict
� Dysfunctional Conflict
– Generally manifested as stress with associated
negative coping process
� Withdrawal, avoidance, blaming
� Functional Conflict
– Generally associated with creative tension
leading to
� Broader alternatives, multiple perspectives,new ideas
Dysfunctional ConflictDysfunctional Conflict
� Unresolved conflict
� Outcomes include:– Destroys task interaction in groups
– Negative assessment of opponents
– Depletion of energy
– Closing off of ourselves
– Building resentment
– Unproductive strategies
– Violence
Functional ConflictFunctional Conflict� Resolvable conflict
� Outcomes include:– Reduction in complacency and stagnation
– Stimulation of interest and curiosity
– Increased creativity
– Better understanding of others
– Improved relationships
– Co-operation
– Increased motivation
Sources of Organizational Sources of Organizational
ConflictConflict� Substantive Conflict
– Work methods
– Pay rates
– Conditions of employment
� Interpersonal Conflict
– Personality conflicts
– Personality misconceptions
Strategies for Resolving ConflictStrategies for Resolving Conflict
Unco-operative Co-operative
Assertive
Unassertive
FORCING COLLABORATING
AVOIDING
COMPROMISING
ACCOMMODATING
CO-OPERATIVENESS
A
S
S
E
R
T
I
V
E
N
E
S
S
ForcingForcing
1. The conflict involves individual values.
2. Maintaining the relationship is not critical.
3. There is a sense of urgency.
AccommodatingAccommodating
1. The need to maintain a good working relationship outweighs all other considerations.
2. The issue is not vital to your own interests.
3. The situation involves time constraints.
269.
CompromiseCompromise
1. The issues are complex and moderately important.
2. Both parties have an interest in differing facets of the problem.
3. There is adequate time available for negotiation.
CollaboratingCollaborating
1. The issues involved are critical.
2. Working relationships need to be maintained.
3. Time constraints are not an issue.
AvoidanceAvoidance
1. When one’s stake in an issue is not high.
2. When there is not a strong interpersonal reason for getting involved.
3. When there are significant time constraints involved.
Conflict EscalationConflict Escalation1. Escalating conflict means raising the intensity
of the conflict.
2. Positive outcomes– Brings issues to a head
– Raises the stakes
3. Negative consequences– May make the situation unmanageable
– Emotions run high
– Becomes a win lose scenario
Group ActivityGroup Activity
1. Individually, think of a conflict situation that you have been involved in, where you were not happy with the outcome.
2. Discuss this situation with other members of your team.
3. What conflict resolution strategy did you use?
Session 4Session 4
Goal Setting
The Benefits of Goal SettingThe Benefits of Goal Setting
1. Goals influence the way we think and what we do.
2. Goals energise our behaviour. We put in effort to reach accepted goals.
3. Goals lead to persistence in effort over time, when the goals are difficult but attainable.
Goal Setting TheoryGoal Setting Theory
Goal settingmotivators
Goal setting
motivators
ParticipationParticipation
Specific andChallenging goals
Specific and
Challenging goalsAcceptanceAcceptance
FeedbackFeedback
S.M.A.R.T Goal SettingS.M.A.R.T Goal Setting
REALISTIC
MEASURABLESPECIFIC
GOAL
270.
Group ActivityGroup Activity
Reflect on the Subarctic Survival Exercise from this morning.
1. What did you do (in terms of setting goals)?
2. What could you have done better?
3. What would you do next time?
Individual ActivityIndividual Activity
1. Reflect on the materials covered today and decide upon two aspects of supportive communication or conflict resolution you would like to set goals for.
2. Now, work through the Goal Setting Worksheet to make these goals SMART goals.
271.
APPENDIX F
Emotions in the Workplace
Participant Information Sheet
The purpose of this project is to establish if training in emotions in the workplace can
improve performance in teams. This project includes two parts, a survey and a training
program. As a part of this project, we are inviting you to complete the attached survey,
which will take approximately 5–10 minutes to complete. We will also be inviting you to
fill in the survey following the completion of your Emotions in the Workplace program.
• All data collected as a result of this research will be treated confidentially. Please
return your questionnaire to your course director who will seal all responses in an
envelope. To ensure your confidentiality, this envelope will be returned directly to
Griffith University.
• Your individual responses will not be available to Main Roads.
• Participation is voluntary and refusal to participate will involve no penalty. You may
discontinue participation at any time without comment or penalty.
• Griffith University conducts research in accordance with the National Statement on
Ethical Conduct in Research Involving Humans. If you have any concerns about the
ethical conduct of the research project, you should contact the Manager, Research
Ethics on 3875 5585 or <[email protected]>.
• Feedback will be in the form of a report to Organisational Development outlining the
aggregated results and outcomes of the project. Individual feedback will also be
available to you on your request.
• Completion of the survey indicates your consent to participate in this study.
If you have any questions or comments, please contact one of the Chief Investigators:
A/Prof Peter J Jordan Prof Neal M Ashkanasy
Associate Professor Professor of Management
Department of Management UQ Business School
Griffith Business School The University of Queensland
272.
Nathan QLD 4111 Brisbane QLD 4072
Ph: 07 3875 3717 Ph: 07 3365 7499
Email: [email protected] Email: [email protected]
Thank you for your assistance with this research project
278.
APPENDIX H
Focus Group Outcomes
Focus Group
Date: Thursday 11 December 2003
Location: Queensland Department of Main Roads
Participants: Business support staff from Strategic Policy and Development
Notes From Session 1 – 10.00am (Six Participants)
Intervention was taken to have negative connotations. Better to use training, course or
program.
Team focus is a good selling point – people responded positively that the focus of the
training would be on teams. Suggesting that the training will tie-in with current leadership
training, but will have a team focus.
Goal Setting
• We are getting better
• Departmental goal setting — achievement plans at the individual level
• Becoming more aware of goal setting in the organisation
• Leads on — people can see how the levels of planning link together
• Corporate probably set more goals (or are more focussed on goal setting) than
construction
o Road-tek are good at setting goals
• Team level is not as strong
o Departmental level
• All involved at different levels in organisational level goals
• Generally involved at the operational level with goals — project managers
• Developing capabilities
• Was previously a lot of ad hoc goal setting, but with the introduction of a strategic
plan, it is now more directional in focus
279.
• Achievement plans should be important part of goal setting (suggested that at this
point they were not as important as they should be)
• Individual priorities (goals):
o Task lists was a form of goal setting — developed personally
o Daily tasks
o Can be daily, weekly and monthly tasks
o Autonomy is good
o Managers have very little input in day to day goals
This could be dependent on the role — PA’s were more dependent on management —
depends on managers schedule
o Goals often change — continually changing, need to be flexible. Flexibility was
emphasised
o Big goals ‘Do the job well’, then that oversees the smaller goals, day to day goals.
• Better to be proactive rather than reactive in goal setting.
Performance
• Achievement plan has a bad name
o It is an arduous task
o 360 degree feedback loop — participants only seen this happen once in 15–20
years?!?!
o Should be every six months
• Many people have draft achievement plans
• Verbal appreciation was one way that feedback was shown
• Appreciation generally occurred for extra role behaviours, less so for task behaviours
• Staff achievement awards — considered important
• Quarterly recognition (in some departments)
• Staff recognition is important
• Also of benefit when certificate showed a clear link back to an objective within the
strategic plan
280.
• Divisional awards — set criteria, staff nominations
• Lots of areas go unnoticed — large projects get a lot of recognition
• Need to be rewards across the board
• There is a focus on process
• Link between strategic plan and achievement is better. Appreciated by staff.
Interpersonal Skills
• Some people are lacking in these skills
• *One participant — has used own networks from working in regions, on projects, head
office. Considers one big family
• Important for working relationship
• Encouraged but not practiced by all
• Management team interpersonal skills not showing
o They need to ‘walk the talk’
o Could take some examples from the bottom
• Leaders not communicating as well as the lower levels
• EGO’S!! Play a big part
• Things are getting better
o Example, went away on a program, increased team work
• If things were good there would be no need for a DG hotline
• Relaxed
• Getting better — improving
• Certain groups work better than others
• Not confronting conflict directly — goes up the line, then down
• Need to have empathy.
Emotions
• Coping styles
o Debrief with another person
o Blurt
281.
o Talk
o Listen — talk to someone else
• Frustration
o Others do not use skills
o Due to things outside your control
o Other people’s behaviour — inflexible
o Learning to accept that you are wrong, sometimes
o Understanding other people
o Recognising qualities that are not your own
• Stress
o Decreased communication
o Increased negative emotions
o Read others emotions
• Better working relationship = a better working group.
Emotions that were written down:
Content
Happy
Frustrated
Relieved
Disappointed
Annoyed
Annoyed
Angry
Happy
Joy
Happy
Happy
Sad
Frustration!!
Frustration
Frustrated
Frustration
Notes from Session 2 – 1:30pm (Four Participants)
Emotions
Most common emotion
Positive/Negative
282.
Positive – reactions
• Sympathy/empathy (difference and both needed in different situations)
• Stop yourself from feeling negative how you are feeling emotionally can affect your
work
• Happy = more productive
o Everywhere
o Not necessarily productive
o Happy = less productive – more chatty/not necessarily can be positive for the
group
• Shitty = blinkered
• Your mood impacts others
• Unconsciously aware
• Affects relationships/the people you work with/ results in a different kind of work
being done
• Sharing negative emotions – makes people understanding.
Manage Emotions
• Depends on who/where you are working
• Make light of anxiety — make a joke
• Withdraw but recognise the need to talk to a supportive person
• Awareness of emotions
• Quite
• Withdraw to manage
• No communication
• Go for a walk.
• Stressful morning + angry + upset, changed to happiness
• Proud of herself — did her best.
283.
Emotions expressed
Really good
Sexy
Happy
Amusement
Frustrated
Relaxed
Nervous
Cheeky
Challenged
Annoyed
Relief
Happiness
Excited
Anxiety
Nervousness
Happy
Sensitive
Content
284.
Notes taken on Butcher’s Paper
Session 1
Survey Feedback
• Main Roads logo
• Neal/Steve sign off — endorsement
• Two years/not basic
• include Main Roads
• Benefits to individuals/Main Roads
• Feedback or concern rather than complaint
• Put Main Roads up top
• Q7. Other leadership courses
o Foundation in Leadership
o Leadership Renewal
• Year of completion
• You may tick more than one box
• Q3. Take out secondment
• Casual/other issues contract
• Unique ID OK
• Word team is confusing — one specific team throughout
• Time to complete, 20 minutes
• Additional comments/feedback space
• Return date
• Explanation of terms
• Glossary of terms — one sentence
• Explanation of survey — what to expect
• Page 2
285.
o Q8 — put(s)
o Q12 exercise(s)
o Separate page for demographics
o Increase font size and extra spacing
o Accurate(ly) – response column
• Page 3
o Frustration with doubling up
o Statement regarding this issue
• Page 4
o Explanation of goals
o Not the same flow — not as easily understandable
o What the?
o Reword questions
o Regroup
o Questions personal/work values different
o Item 16 —what the?
o Language flow 25
o Stop/start
o Boss — manager/supervisor
o Item 23 scenario
o Depends on environment
o Take out excessive
o What is RISK?
o More concise.
Interpersonal Skills
• Family network
• Enhances relationships
• Sometimes not practiced by individuals
286.
• Leaders walk the talk
• Relational egos
• Getting better.
Performance
• Feedback on Action Plan
• No link? Easier 360 degree loop
• Measures
• Six months — beneficial
• Reminders would be good.
Goal Setting
• Getting better — organisation-wide
• Strat plan — awareness (tick)
• People know — how it ties together
• All ties together
• Corporate — Road Tek is good
• Action Plans
• Team is not as strong
• SP&D/Business Plan
• All involved at different levels
• Priorities from Neil
• Operation — hard copy
• Getting better
• Developing capabilities into future
• Strategic approach.
287.
Session 2
• Voluntary clause? Wording
• Benefits for
o you
o and the organisation
• You will not be identified
• Independent analysis
• Reply paid envelope
• Team Research — not individual
• Main Roads logo — management sign off
• Main Roads feedback
• ‘Partnering’ with the university
• Plain English
• Page 1
o Explain unique identifier
o Team results
o Allow link to future survey
o Mother’s maiden name?
o Perhaps mother’s first name?
o Q5
o Position rather than role?
o Manager — need to be specific
o Extra room for additional courses
o Demographics
o Business units.
• Page 3
288.
o Put questions in lots of 10 — visual rest
o Line follow.
• Page 4
o Q3 — wording
o ???
o Q15 — wording, flowery
o Q23 — Plain English
• Qualitative responses?
• Put 5-response items together
• Assumptions — need to define them
o Team has goals
o Outcomes as goals
o Milestones as goals
o *Achievements
• Are goals
o Work
o Team
o Personal
o Task
• Need to define team vs. personal.
289.
APPENDIX I
Emotions in the Workplace Survey
Feedback On Results – Sample Report
Thank you for participating in the ‘Emotions in the Workplace’ program!
To give meaning to the survey, we have compared your results with the results from 30 of
your peers from Senior Advisors (Service Management) and 94 employees from Main Roads
who reported a similar classification level. This comparison was carried out by calculating the
mean or average and then conducting a statistical comparison. Please be aware that all measures
in this survey were based on self-reports. These types of measures can differ depending upon a
range factors at the time of completion. Examples of these factors include, amongst others, your
mood, time constraints and level of interest in the survey content. The comparison ratings
provided in this report should, therefore, be read in light of the accuracy of your own and others’
self-reports.
The three different areas measured by the survey were Emotional Intelligence,
Organisational Citizenship and Goal Setting. An overview of what is measured in each of these
areas is presented below.
Emotional Intelligence can be defined as the ability to monitor your own and others’
emotions, to distinguish between both the positive and negative effects of emotion, and also to
use emotional information to guide one’s thinking and actions. There were two main dimensions
that were measured in the survey, both with a number of supplementary areas:
1. The ability to deal with Own emotions
a. Awareness of own emotions
b. Ability to discuss own emotions
290.
c. Using own emotions to assist thought (for example, calming yourself
down to do detailed and accurate work).
2. The ability to deal with Others’ emotions:
a. Ability to recognise the emotions of others
b. Managing others’ emotions (for example, assisting colleagues to overcome
sadness or disappointment)
c. Ability to detect others’ false displays of emotions (for instance, knowing
when someone is only pretending to be happy).
Organisational Citizenship is defined as displaying behaviours that go above and beyond
formal role requirements, for example, helping others with tasks and putting in more effort than
is required of you. This was calculated on two different dimensions:
1. Interpersonal Facilitation, which includes cooperative, considerate and helpful acts
that assist co-workers’ performance
2. Job Dedication, which includes self-disciplined, motivated acts such as working hard,
taking initiative and following rules to support the objectives of the organisation.
Goal Setting was measured using six different subsets. These were:
1. Supervisor Support/Participation, which indicates the perception of he supervisors’
supportiveness and willingness to let employees participate in goal setting
2. Goal Stress, which concerns the amount of difficulty and the stressfulness of the goals
and whether there is a failure to attain the goals
3. Goal Rationale, which demonstrates how much of a link there is between
performance outcomes and the goal that is set
4. Goal Efficacy, which is a measurement of whether you have a plan of action to
achieve and how much enjoyment there is in reaching goals
5. Goal Clarity, indicating how clear or specific goals are and whether there is a clear
priority for achieving goals
291.
6. Goal Conflict, which identifies whether goals cause internal conflict, for instance,
having too many goals or goals that conflict with personal values.
(i) Your Results
Your overall results for each of the above mentioned areas are presented in the graphs on the
following pages. These graphs can be interpreted as follows:
1. Column 1 = your own result
Column 2 = your business units overall result
Column 3 = the Main Roads sample result
2. Items marked with an * or ** signify a significant difference (either above or below)
between your own result and the results of your business unit or the larger Main
Roads Sample. Items marked with NS signify that there is no significant difference
between your own result and the result of your business unit or the larger Main Roads
sample.
3. If your result is lower than your own business unit or the Main Roads average, this
may be an area you wish to highlight for future development. Two exceptions to this
are the areas of Goal Stress and Goal Conflict, where results lower than the business
unit/Main Roads average signify that you experience Goal Stress and Goal Conflict at
a lower level than your peers.
292.
Emotional Intelligence
0
10
20
30
40
50
60
70
80
90
100
EI Total Own Others
Co
mp
ara
tive S
co
re
Sample
Senior Advisors
Main Roads
EI Total Own Others
SA ns ns ns
Main Roads * ns **
Emotional Intelligence Subscales
0
5
10
15
20
25
30
35
40
Awar
enes
s
Discu
ss
Facilit
ation
Reco
gnise
ID F
alse
Man
age
Co
mp
ara
tive S
co
res
Sample
Senior Advisors
Main Roads
Aware Discuss Facil Recog False Manage
SA ns ns ** ** ns *
Main Roads ns ns ** ** ** **
293.
Organisational Citizenship
0
5
10
15
20
25
30
Interpersonal Job Dedication
Co
mp
ara
tive S
co
res
Sample
Senior Advisors
Main Roads
Interpersonal Facil Job Dedication
SA ** **
Main Roads ** **
Goal Setting
02468
1012141618
Super
viso
r Sup
port
Goa
l Stre
ss
Goa
l Rat
iona
le
Goa
l Effica
cy
Goa
l Cla
rity
Goa
l Con
flict
Co
mp
ara
tive S
co
res
Sample
Senior Advisors
Main Roads
Support Stress Rationale
Efficacy Clarity Conflict
SA ns ** * * ns ns
Main Roads ** ** ** ** ** ns
294.
Once again, we would like to thank you for participating in the program. If you have any
questions, please feel free to contact Paul Connors in Organisational Development (ph: 3405
5432), Peter Jordan at Griffith University (ph: 3875 3717), Jane Murray at Griffith University
(ph: 3875 7998) or Sandra Lawrence at Griffith University (ph: 3875 3717).
All the best from the project team!